Results 11 to 20 of about 320,035 (309)
Minimal header overhead for random linear network coding [PDF]
2015 IEEE International Conference on Communication Workshop (ICCW), 2015 The energy used to transmit a single bit of data between the devices in wireless networks is equal to the energy for performing hundreds of instructions in those devices. Thus the reduction of the data necessary to transmit, while keeping the same functionality of the employed algorithms is a formidable and challenging scientific task.
Danilo Gligoroski +2 more
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The Rank Distribution of Sparse Random Linear Network Coding [PDF]
IEEE Access, 2019 Sparse random linear network coding (SRLNC) is a promising solution for reducing the complexity of random linear network coding (RLNC). RLNC can be modeled as a linear operator channel (LOC).
Wenlin Chen, Fang Lu, Yan Dong
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Random Linear Network Coding on Programmable Switches [PDF]
2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 2019 By extending the traditional store-and-forward mechanism, network coding has the capability to improve a network's throughput, robustness, and security. Given the fundamentally different packet processing required by this new paradigm and the inflexibility of hardware, existing solutions are based on software. As a result, they have limited performance
Diogo Costa Gonçalves +3 more
openalex +7 more sources
Adaptive Real-Time Transmission in Large-Scale Satellite Networks Through Software-Defined-Networking-Based Domain Clustering and Random Linear Network Coding [PDF]
MathematicsNetwork flow task management involves the efficient allocation and scheduling of data flow tasks within dynamic satellite networks, aiming to effectively address frequent changes in network topology and dynamic traffic fluctuations.
Shangpeng Wang +4 more
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Geometric Random Linear Codes in Sensor Networks [PDF]
2008 IEEE International Conference on Communications, 2008 Wireless sensor networks consist of unreliable and energy-constrained sensors connecting to each other wirelessly. As measured data may be lost due to sensor failures, maintaining the persistence of periodically measured data in a scalable fashion has become a critical challenge in sensor networks, without the use of centralized servers.
Yunfeng Lin, Ben Liang, B. Li
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On Random Linear Network Coding for Butterfly Network
, 2010 This paper was submitted to IEEE Communications ...
Xuan Guang, Fang‐Wei Fu
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Digital Communications and NetworksIn 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 ...
Raffi Dilanchian +2 more
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From Instantly Decodable to Random Linear Network Coding [PDF]
, 2013 30 pages with double space, 14 color ...
Yu, Ming +2 more
openaire +4 more sources
Linear-Complexity Overhead-Optimized Random Linear Network Codes
, 2013 Sparse random linear network coding (SRLNC) is an attractive technique proposed in the literature to reduce the decoding complexity of random linear network coding. Recognizing the fact that the existing SRLNC schemes are not efficient in terms of the required reception overhead, we consider the problem of designing overhead-optimized SRLNC schemes. To
Kaveh Mahdaviani +2 more
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On Intercept Probability Minimization Under Sparse Random Linear Network Coding [PDF]
, 2019 This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper. The transmitter secures its transmissions employing a sparse implementation of Random Linear Network Coding (RLNC)
Andrea Tassi +2 more
openalex +5 more sources