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A graph neural network and multi-task learning-based decoding algorithm for enhancing XZZX code stability in biased noise 认领 引用
1
作者 Bo Xiao Zai-Xu Fan +2 位作者 Hui-Qian Sun Hong-Yang Ma Xing-Kui Fan 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第5期250-257,共8页
Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits,which plays a key role in building practical quantum computers.The... Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits,which plays a key role in building practical quantum computers.The XZZX surface code,with only one stabilizer generator on each face,demonstrates significant application potential under biased noise.However,the existing minimum weight perfect matching(MWPM)algorithm has high computational complexity and lacks flexibility in large-scale systems.Therefore,this paper proposes a decoding method that combines graph neural networks(GNN)with multi-classifiers,the syndrome is transformed into an undirected graph,and the features are aggregated by convolutional layers,providing a more efficient and accurate decoding strategy.In the experiments,we evaluated the performance of the XZZX code under different biased noise conditions(bias=1,20,200)and different code distances(d=3,5,7,9,11).The experimental results show that under low bias noise(bias=1),the GNN decoder achieves a threshold of 0.18386,an improvement of approximately 19.12%compared to the MWPM decoder.Under high bias noise(bias=200),the GNN decoder reaches a threshold of 0.40542,improving by approximately 20.76%,overcoming the limitations of the conventional decoder.They demonstrate that the GNN decoding method exhibits superior performance and has broad application potential in the error correction of XZZX code. 展开更多
关键词 quantum error correction XZZX code biased noise graph neural network
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System Modeling and Deep Learning-Based Security Analysis of Uplink NOMA Relay Networks with IRS and Fountain Codes 认领 引用
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作者 Phu Tran Tin Minh-Sang Van Nguyen +2 位作者 Quy-Anh Bui Agbotiname Lucky Imoize Byung-Seo Kim 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第8期2521-2543,共23页
Digital content such as games,extended reality(XR),and movies has been widely and easily distributed over wireless networks.As a result,unauthorized access,copyright infringement by third parties or eavesdroppers,and ... Digital content such as games,extended reality(XR),and movies has been widely and easily distributed over wireless networks.As a result,unauthorized access,copyright infringement by third parties or eavesdroppers,and cyberattacks over these networks have become pressing concerns.Therefore,protecting copyrighted content and preventing illegal distribution in wireless communications has garnered significant attention.The Intelligent Reflecting Surface(IRS)is regarded as a promising technology for future wireless and mobile networks due to its ability to reconfigure the radio propagation environment.This study investigates the security performance of an uplink Non-Orthogonal Multiple Access(NOMA)system integrated with an IRS and employing Fountain Codes(FCs).Specifically,two users send signals to the base station at separate distances.A relay receives the signal from the nearby user first and then relays it to the base station.The IRS receives the signal from the distant user and reflects it to the relay,which then sends the reflected signal to the base station.Furthermore,a malevolent eavesdropper intercepts both user and relay communications.We construct mathematical equations for Outage Probability(OP),throughput,diversity evaluation,and Interception Probability(IP),offering quantitative insights to assess system security and performance.Additionally,OP and IP are analyzed using a Deep Neural Network(DNN)model.A deeper comprehension of the security performance of the IRS-assisted NOMA systemin signal transmission is provided by Monte Carlo simulations,which are also carried out to confirm the theoretical conclusions. 展开更多
关键词 Copyright management deep neural network fountain codes intelligent reflecting surface non-orthogonal multiple access physical layer security uplink
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Joint Iterative Decoding for Network-Coding-Based Multisource LDPC-Coded Cooperative MIMO 认领 引用 被引量：1
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作者 张顺外 仰枫帆 唐蕾 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2014年第4期420-430,共11页
A network-coding-based multisource LDPC-coded cooperative MIMO scheme is proposed,where multiple sources transmit their messages to the destination with the assistance from a single relay.The relay cooperates with mul... A network-coding-based multisource LDPC-coded cooperative MIMO scheme is proposed,where multiple sources transmit their messages to the destination with the assistance from a single relay.The relay cooperates with multiple sources simultaneously via network-coding.It avoids the issues of imperfect frequencyiming synchronization and large transmission delay which may be introduced by frequency-division multiple access(FDMA)/code-division multiple access(CDMA)and time-division multiple access(TDMA)manners.The proposed joint″Min-Sum″iterative decoding is effectively carried out in the destination.Such a decoding algorithm agrees with the introduced equivalent joint Tanner graph which can be used to fully characterize LDPC codes employed by the sources and relay.Theoretical analysis and numerical simulation show that the proposed scheme with joint iterative decoding can achieve significant cooperation diversity gain.Furthermore,for the relay,compared with the cascade scheme,the proposed scheme has much lower complexity of LDPC-encoding and is easier to be implemented in the hardware with similar bit error rate(BER)performance. 展开更多
关键词 cooperative MIMO network coding LDPC codes equivalent joint Tanner graph joint iterative decoding
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LDPC Code’s Decoding Algorithms for Wireless Sensor Network:a Brief Review 认领 引用 被引量：1
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作者 Weidong Fang Wuxiong Zhang +2 位作者 Lianhai Shan Biruk Assefa Wei Chen 《Journal of New Media》 2019年第1期45-50,共6页
As an effective error correction technology,the Low Density Parity Check Code(LDPC)has been researched and applied by many scholars.Meanwhile,LDPC codes have some prominent performances,which involves close to the Sha... As an effective error correction technology,the Low Density Parity Check Code(LDPC)has been researched and applied by many scholars.Meanwhile,LDPC codes have some prominent performances,which involves close to the Shannon limit,achieving a higher bit rate and a fast decoding.However,whether these excellent characteristics are suitable for the resource-constrained Wireless Sensor Network(WSN),it seems to be seldom concerned.In this article,we review the LDPC code’s structure brief.ly,and them classify and summarize the LDPC codes’construction and decoding algorithms,finally,analyze the applications of LDPC code for WSN.We believe that our contributions will be able to facilitate the application of LDPC code in WSN. 展开更多
关键词 Wireless Sensor Network(WSN) Low Density Parity Check Code(LDPC) anti-interference soft decision hard decision
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Sparse graph neural network aided efficient decoder for polar codes under bursty interference 认领 引用
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作者 Shengyu Zhang Zhongxiu Feng +2 位作者 Zhe Peng Lixia Xiao Tao Jiang 《Digital Communications and Networks》 SCIE EI CSCD 2025年第2期359-364,共6页
In this paper,a sparse graph neural network-aided(SGNN-aided)decoder is proposed for improving the decoding performance of polar codes under bursty interference.Firstly,a sparse factor graph is constructed using the e... In this paper,a sparse graph neural network-aided(SGNN-aided)decoder is proposed for improving the decoding performance of polar codes under bursty interference.Firstly,a sparse factor graph is constructed using the encoding characteristic to achieve high-throughput polar decoding.To further improve the decoding performance,a residual gated bipartite graph neural network is designed for updating embedding vectors of heterogeneous nodes based on a bidirectional message passing neural network.This framework exploits gated recurrent units and residual blocks to address the gradient disappearance in deep graph recurrent neural networks.Finally,predictions are generated by feeding the embedding vectors into a readout module.Simulation results show that the proposed decoder is more robust than the existing ones in the presence of bursty interference and exhibits high universality. 展开更多
关键词 Sparse graph neural network Polar codes Bursty interference Sparse factor graph Message passing neural network
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Adjustable random linear network coding(ARLNC): A solution for data transmission in dynamic IoT computational environments 认领 引用
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作者 Raffi Dilanchian Ali Bohlooli Kamal Jamshidi 《Digital Communications and Networks》 SCIE EI CSCD 2025年第2期574-586,共13页
In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, c... In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, commonly used in data transmission protocols, increases transmission delay and consumes excessive bandwidth. To overcome this issue, forward error correction techniques, e.g., Random Linear Network Coding(RLNC) can be used in data transmission. The primary challenge in RLNC-based methodologies is sustaining a consistent coding ratio during data transmission, leading to notable bandwidth usage and transmission delay in dynamic network conditions. Therefore, this study proposes a new block-based RLNC strategy known as Adjustable RLNC(ARLNC), which dynamically adjusts the coding ratio and transmission window during runtime based on the estimated network error rate calculated via receiver feedback. The calculations in this approach are performed using a Galois field with the order of 256. Furthermore, we assessed ARLNC's performance by subjecting it to various error models such as Gilbert Elliott, exponential, and constant rates and compared it with the standard RLNC. The results show that dynamically adjusting the coding ratio and transmission window size based on network conditions significantly enhances network throughput and reduces total transmission delay in most scenarios. In contrast to the conventional RLNC method employing a fixed coding ratio, the presented approach has demonstrated significant enhancements, resulting in a 73% decrease in transmission delay and a 4 times augmentation in throughput. However, in dynamic computational environments, ARLNC generally incurs higher computational costs than the standard RLNC but excels in high-performance networks. 展开更多
关键词 Random linear network coding Adjust redundancy Galois field Internet of Things Data transfer
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Multi-Source Spinal Coding for Coded Caching Multicast Transmissions in Wireless Networks 认领 引用 被引量：2
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作者 Aimin Tang Xudong Wang 《China Communications》 SCIE EI CSCD 2021年第3期91-104,共14页
Recently,coded caching has been treated as a promising technique to alleviate the traffic burden in wireless networks.To support high efficient coded caching multicast transmissions,the time-varying heterogeneous chan... Recently,coded caching has been treated as a promising technique to alleviate the traffic burden in wireless networks.To support high efficient coded caching multicast transmissions,the time-varying heterogeneous channel conditions need to be considered.In this paper,a practical and novel multi-source spinal coding(MSSC)scheme is developed for coded caching multicast transmissions under heterogeneous channel conditions.By exploring joint design of network coding and spinal coding(SC),MSSC can achieve unequal link rates in multicast transmissions for different users.Moreover,by leveraging the rateless feature of SC in our design,MSSC can well adapt the link rates of all users in multicast transmissions without any feedback of time-varying channel conditions.A maximum likelihood(ML)based decoding process for MSSC is also developed,which can achieve a linear complexity with respect to the user number in the multicast transmission.Simulation results validate the effectiveness of the MSSC scheme.Compared to the existing scheme,the sum rate of MSSC in multicast transmissions is improved by about 20%.When applying MSSC in coded caching systems,the total transmission time can be reduced by up to 48% for time-varying channels. 展开更多
关键词 coded caching spinal code network coding multicast transmission wireless networks
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Coding-based distributed filtering for cyber–physical systems under denial of service attacks 认领 引用
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作者 Shuang Feng Damián Marelli +2 位作者 Chen Wang Minyue Fu Tianju Sui 《Journal of Automation and Intelligence》 EI CSCD 2026年第1期13-23,共11页
This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems.A particular feature of our work is that we consider systems in which the state is constrained... This article investigates the distributed recursive filtering problem for discrete-time stochastic cyber–physical systems.A particular feature of our work is that we consider systems in which the state is constrained by saturation.Measurements are transmitted to nodes of a sensor network over unreliable wireless channels.We propose a linear coding mechanism,together with a distributed method for obtaining a state estimate at each node.These designs aim to minimize the state estimation error covariance.In addition,we derive a bound on this covariance,and accommodate the design parameters to minimize this bound.The resulting design depends on the packet loss probabilities of the wireless channels.This permits applying the proposed scheme to systems in which communications suffer from denial-of-service attacks,as such attacks typically affect those probabilities.Finally,we present a numerical example illustrating this application. 展开更多
关键词 Cyber–physical system Sensor network Denial-of-service attack Linear coding State saturation
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Unraveling Predictive Mechanism in Speech Perception and Production:Insights from EEG Analyses of Brain Network Dynamics 认领 引用
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作者 ZHAO Bin DANG Jianwu LI Aijun 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第2期273-281,共9页
How neural networks coordinate to support speech perception and speech production represents a forefront research topic in both contemporary neuroscience and artificial intelligence.Despite the successful incorporatio... How neural networks coordinate to support speech perception and speech production represents a forefront research topic in both contemporary neuroscience and artificial intelligence.Despite the successful incorporation of hierarchical and predictive attributes from biological neural networks(BNNs)into artificial counterparts,substantial disparities persist,particularly in terms of real-time feedback and nonlinear regulation.To gain a more profound understanding of how BNNs manifest these attributes,the present study employed electroencephalography(EEG)techniques to examine the spatiotemporal brain network dynamics involved in listening and oral reading of identical sentences.These two tasks engage distinct sensorimotor modalities while sharing high-level semantic and syntactic representations.According to a hierarchical feedforward model,the low-level auditory and visual inputs would be progressively transformed towards abstract representations of the sentence meaning,leading to a convergence of brain network patterns in higher cognitive regions.However,our findings challenged this viewpoint by revealing an early resemblance of network activation in the prefrontal and parietal areas in both tasks.It implies a top-down predictive mechanism along with the bottom-up progression.This bidirectional interaction could be potentially implemented through frequency-specific synchronization and desynchronization between functional-specific cortical regions,laying the foundation of the speech chain system with common neural substrates. 展开更多
关键词 speech perception and production electroencephalography(EEG)techniques brain network dynamics predictive coding frequency multiplexing
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Homomorphic Error-Control Codes for Linear Network Coding in Packet Networks 认领 引用
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作者 Xiaodong Han Fei Gao 《China Communications》 SCIE CSCD 2017年第9期178-189,共12页
In this work, the homomorphism of the classic linear block code in linear network coding for the case of binary field and its extensions is studied. It is proved that the classic linear error-control block code is hom... In this work, the homomorphism of the classic linear block code in linear network coding for the case of binary field and its extensions is studied. It is proved that the classic linear error-control block code is homomorphic network error-control code in network coding. That is, if the source packets at the source node for a linear network coding are precoded using a linear block code, then every packet flowing in the network regarding to the source satisfies the same constraints as the source. As a consequence, error detection and correction can be performed at every intermediate nodes of multicast flow, rather than only at the destination node in the conventional way, which can help to identify and correct errors timely at the error-corrupted link and save the cost of forwarding error-corrupted data to the destination node when the intermediate nodes are ignorant of the errors. In addition, three examples are demonstrated which show that homomorphic linear code can be combined with homomorphic signature, McEliece public-key cryptosystem and unequal error protection respectively and thus have a great potential of practical utility. 展开更多
关键词 network coding network errorcorrection homomorphic linear code multi-cast
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Recurrent neural network decoding of rotated surface codes based on distributed strategy 认领 引用
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作者 李帆 李熬庆 +1 位作者 甘启迪 马鸿洋 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第4期322-330,共9页
Quantum error correction is a crucial technology for realizing quantum computers.These computers achieve faulttolerant quantum computing by detecting and correcting errors using decoding algorithms.Quantum error corre... Quantum error correction is a crucial technology for realizing quantum computers.These computers achieve faulttolerant quantum computing by detecting and correcting errors using decoding algorithms.Quantum error correction using neural network-based machine learning methods is a promising approach that is adapted to physical systems without the need to build noise models.In this paper,we use a distributed decoding strategy,which effectively alleviates the problem of exponential growth of the training set required for neural networks as the code distance of quantum error-correcting codes increases.Our decoding algorithm is based on renormalization group decoding and recurrent neural network decoder.The recurrent neural network is trained through the ResNet architecture to improve its decoding accuracy.Then we test the decoding performance of our distributed strategy decoder,recurrent neural network decoder,and the classic minimum weight perfect matching(MWPM)decoder for rotated surface codes with different code distances under the circuit noise model,the thresholds of these three decoders are about 0.0052,0.0051,and 0.0049,respectively.Our results demonstrate that the distributed strategy decoder outperforms the other two decoders,achieving approximately a 5%improvement in decoding efficiency compared to the MWPM decoder and approximately a 2%improvement compared to the recurrent neural network decoder. 展开更多
关键词 quantum error correction rotated surface code recurrent neural network distributed strategy
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Data Combination over Physical Layer Using Network Coding with PUM Turbo Codes 认领 引用 被引量：3
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作者 Hani Attar 《Journal of Computer and Communications》 2017年第6期32-44,共13页
The Base Station (BS) or access point is the building block of wireless networks, so, we propose exploiting it together with the Network Coding (NC) principle. NC suffers from the complexity of the decoding processes,... The Base Station (BS) or access point is the building block of wireless networks, so, we propose exploiting it together with the Network Coding (NC) principle. NC suffers from the complexity of the decoding processes, i.e., complicated Jordan Gaussian Elimination (JGE) processes. So, this paper proposes a deterministic NC algorithm to reduce the number of sequential network decoding steps, and hence minimizing the complexity of JGE process resulting to better time delay and processing time. We propose an algorithm that combines higher number of the transmitted packets resulting to better data-rate but worse Bet Error Rate (BER). However, using such strong Forward error correction channel code, which is Partial Unit Memory Turbo Code (PUMTC) results to minimize the losses in the BER to a very acceptable lever, in fact, in Decode-and-Forward (DF) BS, the BER can be regarded as minimum. Simulation results, for both Amplify-and-Forward (AF) and DF BS schemes using PUMTC based on (8, 4, 3, 8) component codes, confirm that using PUMTC mitigates the problem of noise aggregation resulting from applying NC in the proposed schemes. 展开更多
关键词 Forward Error Correction Network Coding Unit Memory Turbo Code
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Physical Layer Deterministic Network Coding Using PUM Turbo Codes over AWGN Channel, N Nodes through a Base Station Scenario 认领 引用 被引量：2
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作者 Hani Attar 《Communications and Network》 2016年第4期241-256,共16页
Network Coding (NC) is a recent technique which is used to improve the transmission data rate and the power efficiency. These goals are obtained by combining data together before transmitting them, resulting to less t... Network Coding (NC) is a recent technique which is used to improve the transmission data rate and the power efficiency. These goals are obtained by combining data together before transmitting them, resulting to less transmitted data that carry the same amount of information. NC research work over the physical layer and the upper layers are popular and needed to be more investigated. In this paper, we propose a practical system of large-number of connected multi-source network coding (LMSNC), at the physical layer that exploits the broadcast nature of the wireless channel, using the practical and bandwidth-efficient schemes decode-and-forward (DF) and then compare it with Amplify and Forward (AF). The theoretical analysis and the simulation results show the effect of the noise when it cumulates in AF system and how DF is solving this severe default. Moreover, we consider the MSNC for Small-number of connected sources (SMSNC) and the two-way communication setup where two users exchange their information over an intermediate network node (ideally called Base Station), as two reference cases to compare with. With SMSNC, the number of necessary downlink transmissions from the intermediate node to the users is reduced, and thus the throughput is increased. Simulation results obtained using high-performance non-binary turbo codes, based on Partial Unit Memory (PUM) codes (4, 2, 1, 4) and (8, 4, 3, 8);confirm that combining PUM Turbo Code (PUMTC) and NC in the proposed MSNC setup gives almost the same BER performance as that for SMSNC at the small number of processing steps mainly when PUMTC (8, 4, 3, 8) is performed, which is required to retrieve the received coded messages. In the scenario of AF, combining packets results to cumulate the noise, which justifies the reason we decided to increase the number of transmitted coded messages in the network, i.e., the BER performance improves when sending extra coded messages. Finally, the possibility for a trade-off among BER, data rate and the number of transmitted coded messages is shown for LMSNC through graphics and simulation results. 展开更多
关键词 Network Coding Cooperative Nodes Forward Error Correction
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RETRACTED: Improved Polar Decoder Utilizing Neural Network in Fast Simplified Successive-Cancellation Decoding 认领 引用
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作者 Jiaxin Fang Chunwu Liu 《Optics and Photonics Journal》 2020年第6期149-158,共10页
This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. The aim is to promote the circulation of scientific research by ... This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. The aim is to promote the circulation of scientific research by offering an ideal research publication platform with due consideration of internationally accepted standards on publication ethics. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused. Please see the article page for more details. The full retraction notice in PDF is preceding the original paper which is marked "RETRACTED". 展开更多
关键词 Polar Codes Decoding Latency Fast Simplified Successive-Cancellation Decoding (Fast-SSC) Neural Network (NN)
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Improved Polar Decoder Utilizing Neural Network in Fast Simplified Successive-Cancellation Decoding 认领 引用
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作者 Jiaxin Fang Chunwu Liu 《Journal of Computer and Communications》 2020年第7期90-99,共10页
Polar codes using successive-cancellation decoding always suffer from high latency for its serial nature. Fast simplified successive-cancellation decoding algorithm improves the situation in theoretically but not perf... Polar codes using successive-cancellation decoding always suffer from high latency for its serial nature. Fast simplified successive-cancellation decoding algorithm improves the situation in theoretically but not performs well as expected in practical for the workload of nodes identification and the existence of many short blocks. Meanwhile, Neural network (NN) based decoders have appeared as potential candidates to replace conventional decoders for polar codes. But the exponentially increasing training complexity with information bits is unacceptable which means it is only suitable for short codes. In this paper, we present an improvement that increases decoding efficiency without degrading the error-correction performance. The long polar codes are divided into several sub-blocks, some of which can be decoded adopting fast maximum likelihood decoding method and the remained parts are replaced by several short codes NN decoders. The result shows that time steps the proposed algorithm need only equal to 79.8% of fast simplified successive-cancellation decoders require. Moreover, it has up to 21.2 times faster than successive-cancellation decoding algorithm. More importantly, the proposed algorithm decreases the hardness when applying in some degree. 展开更多
关键词 Polar Codes Decoding Latency Fast Simplified Successive-Cancellation Decoding (Fast-SSC) Neural Network (NN)
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Coded WDM-PON Techniques with Complementary Walsh Coding Scheme over Fiber-to-the-home Networks 认领 引用
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作者 Jenfa Huang Yaotang Chang Dengsheng Wang 《通讯和计算机（中英文版）》 2005年第11期52-58,共7页
In order to realize broadband and high-speed transmission in the last mile access network,the Coded Wavelength-Division Multiplexing(Coded-WDM)technique on PON(so-called CDM-PON)is presented on fiber-to-the-home acces... In order to realize broadband and high-speed transmission in the last mile access network,the Coded Wavelength-Division Multiplexing(Coded-WDM)technique on PON(so-called CDM-PON)is presented on fiber-to-the-home access network.In this paper,the codcd-WDM coder/decoder(codec}is configured on Optical Network Unit(ONU)and Optical Line Terminal(OLT)in Ethemet Passive Optical Network(E-PON).Here,network codecs are constructed with Arrayed Waveguide Grating(AWG)devices and the signature address code is employed as complementary Walsh code whose original code is for data bit'1'and complementary code is for data bit'0'respectively.It is shown that the simultaneous active user of proposed scheme using CWH code is improved 100%than using M-Sequence and conventional Walsh code for given bit error rate of 10^-9.In addition,the signal to noise ratio(SNR)performance is improved by 6dB compared with conventional scheme employed M-sequence and Walsh code. 展开更多
关键词 Coded Wavelength-Division Multiplexing(Coded WDM) Passive Optical Network(PON) Spectral Amplitude Coding(SAC) Array Waveguide Grating(AWG) Optical Network Unit(ONU) Optical Line Terminal(OLT) Fiber-to-the-home(FTTH)
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An Energy-Efficient Network Coded Cooperation Scheme in Wireless Sensor Networks 认领 引用 被引量：8
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作者 覃团发 罗建中 +1 位作者 唐振华 刘家锋 《China Communications》 SCIE CSCD 2011年第2期166-172,共7页
Energy-efficient communications is crucial for wireless sensor networks(WSN) where energy consumption is constrained. The transmission and reception energy can be saved by applying network coding to many wireless comm... Energy-efficient communications is crucial for wireless sensor networks(WSN) where energy consumption is constrained. The transmission and reception energy can be saved by applying network coding to many wireless communications systems. In this paper,we present a coded cooperation scheme which employs network coding to WSN. In the scheme,the partner node forwards the combination of the source data and its own data instead of sending the source data alone. Afterward,both of the system block error rates(BLERs) and energy performance are evaluated. Experiment results show that the proposed scheme has higher energy efficiency. When Noise power spectral density is-171dBm/Hz,the energy consumption of the coded cooperation scheme is 81.1% lower than that of the single-path scheme,43.9% lower than that of the cooperation scheme to reach the target average BLER of 10-2. When the channel condition is getting worse,the energy saving effect is more obvious. 展开更多
关键词 wireless sensor network energy efficiency cooperation diversity network coding
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Reliable Braided Multipath Routing with Network Coding for Underwater Sensor Networks 认领 引用 被引量：5
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作者 杨余旺 古力 +3 位作者 鞠玉涛 郑亚 孙亚民 杨静宇 《China Ocean Engineering》 SCIE EI 2010年第3期565-574,共10页
Owing to the long propagation delay and high error rate of acoustic channels, it is very challenging to provide reliable data transfer for underwater sensor networks. Moreover, network coding is proved to be an effect... Owing to the long propagation delay and high error rate of acoustic channels, it is very challenging to provide reliable data transfer for underwater sensor networks. Moreover, network coding is proved to be an effective coding technique for throughput and robustness of networks. In this paper, we propose a Reliable Braided Multipath Routing with Network Coding for underwater sensor networks （RBMR-NC）. Disjoint multi-path algorithm is used to build independent actual paths, as called main paths. Some braided paths on each main path are built according to the braided multi-path algorithm, which are called logic paths. When a data packet is transmitted by these nodes, the nodes can employ network coding to encode packets coming from the same group in order to further reduce relativity among these packets, and enhance the probability of successful decoding at the sink node. Braided multi-path can make the main paths to be multiplexed to reduce the probability of long paths. This paper mainly employs successful delivery rate to evaluate RBMR-NC model with theoretical analysis and simulation methods. The results indicate that the proposed RBMR-NC protocol is valuable to enhance network reliability and to reduce system redundancy. 展开更多
关键词 network coding multi-path routing underwater sensor networks network reliability
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Low-Complexity Secure Network Coding Against Wiretapping Using Intra/Inter-generation Coding 认领 引用 被引量：10
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作者 LIU Guangjun LIU Binyue +2 位作者 LIU Ximeng LI Fang GUO Wangmei 《China Communications》 SCIE CSCD 2015年第6期116-125,共10页
Existing solutions against wiretapping attacks for network coding either bring significant bandwidth overhead or incur a high computational complexity.In order to reduce the security overhead of the existing solutions... Existing solutions against wiretapping attacks for network coding either bring significant bandwidth overhead or incur a high computational complexity.In order to reduce the security overhead of the existing solutions for securing network coding,a novel securing network coding paradigm is presented relying on two coding models:intra-generation coding and inter-generation coding.The basic idea to secure network coding using intra-generation coding is to limit the encryption operations for each generation,and then subject the scrambled and the remaining original source vectors to a linear transformation.This method is then generalized seamlessly using inter-generation coding by further exploiting the algebraic structure of network coding.We show that the proposed schemes have properties of low-complexity security,little bandwidth consumption,and high efficiency in integrating with the existing security techniques effectively. 展开更多
关键词 network coding security wiretap-ping attacks algebraic coding encryption
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AeroMTP:A fountain code-based multipath transport protocol for airborne networks 认领 引用 被引量：4
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作者 Li Jie Gong Erling +2 位作者 Sun Zhiqiang Liu Wei Xie Hongwei 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2015年第4期1147-1162,共16页
Airborne networks（ANs） are special types of ad hoc networks that can be used to enhance situational awareness, flight coordination and flight efficiency in civil and military aviation.Compared to ground networks, AN... Airborne networks（ANs） are special types of ad hoc networks that can be used to enhance situational awareness, flight coordination and flight efficiency in civil and military aviation.Compared to ground networks, ANs have some unique attributes including high node mobility, frequent topology changes, mechanical and aerodynamic constrains, strict safety requirements and harsh communication environment.Thus, the performance of conventional transmission control protocol（TCP） will be dramatically degraded in ANs.Aircraft commonly have two or more heterogeneous network interfaces which offer an opportunity to form multiple communication paths between any two nodes in ANs.To satisfy the communication requirements in ANs, we propose aeronautical multipath transport protocol（Aero MTP） for ANs, which effectively utilizes the available bandwidth and diversity provided by heterogeneous wireless paths.Aero MTP uses fountain codes as forward error correction（FEC） codes to recover from data loss and deploys a TCP-friendly rate-based congestion control mechanism for each path.Moreover, we design a packet allocation algorithm based on optimization to minimize the delivery time of blocks.The performance of Aero MTP is evaluated through OMNe T＋＋ simulations under a variety of test scenarios.Simulations demonstrate that Aero MTP is of great potential to be applied to ANs. 展开更多
关键词 Ad hoc networks Airborne networks Fountain code Multi-paths Network protocols
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