Combining forward error correction and network coding in bufferless networks: A case study for optical packet switching

Biczók, Gergely; Chen, Yanling; Kralevska, Katina; Øverby, Harald

doi:10.1109/hpsr.2016.7525640

Cited by 11 publications

(2 citation statements)

References 19 publications

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“…MANET nodes can move the network with their mobility factors [23]. The communication range of the wireless network is based on multi-hop source to the destination within the communication area [5]. Nodes transmitted data packets from source to destination nodes through adjacent nodes [4].…”

Section: Introductionmentioning

confidence: 99%

Link-Disjoint Multipath Routing for Network Traffic Overload Handling in Mobile Ad-hoc Networks

et al. 2019

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Mobile Ad-hoc Networks (MANETs) is the network of wireless mobile nodes with selforganizing, dynamic network connectivity without any pre-defined infrastructure for wireless communication. Error-less data broadcasting is the major role in MANET transmission. With the salient feature of dynamic topology and the distributed infrastructure, multipath routing is of great interests in MANETs. Multipath routing methods are dependable on adjacent nodes for finding the shortest path that several data packets are fallen to network traffic. Attention on the adjacent nodes can have the end-to-end delay while broadcasting the data packets into other nodes that finish up being fallen to congestion. It will also reduce network throughput and cause the network optimality problem. In this paper, we propose a new link-disjoint multipath routing method to solve the optimization problem in the real-time network environment. Hence, the proposed method is used to choose the shortest path from multiple paths in MANETs. Simulation results proved that the proposed method performs well in the dynamic network environment.INDEX TERMS MANET, multipath routing, shortest path, load balancing.

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Section: Introductionmentioning

confidence: 99%

Link-Disjoint Multipath Routing for Network Traffic Overload Handling in Mobile Ad-hoc Networks

et al. 2019

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“…The poor-quality links in WSN further intensify the crisis of error propagation in network coding. There are fruitful works about network error correction coding for network coding (NEC) [ 6 , 7 , 8 , 9 ]. However, none of the existing works thoroughly solved the error propagation problem in network coding.…”

Section: Introductionmentioning

confidence: 99%

The Application of Social Characteristic and L1 Optimization in the Error Correction for Network Coding in Wireless Sensor Networks

Zhang

Cai

Xiong

2018

Sensors

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One of the remarkable challenges about Wireless Sensor Networks (WSN) is how to transfer the collected data efficiently due to energy limitation of sensor nodes. Network coding will increase network throughput of WSN dramatically due to the broadcast nature of WSN. However, the network coding usually propagates a single original error over the whole network. Due to the special property of error propagation in network coding, most of error correction methods cannot correct more than C/2 corrupted errors where C is the max flow min cut of the network. To maximize the effectiveness of network coding applied in WSN, a new error-correcting mechanism to confront the propagated error is urgently needed. Based on the social network characteristic inherent in WSN and L1 optimization, we propose a novel scheme which successfully corrects more than C/2 corrupted errors. What is more, even if the error occurs on all the links of the network, our scheme also can correct errors successfully. With introducing a secret channel and a specially designed matrix which can trap some errors, we improve John and Yi’s model so that it can correct the propagated errors in network coding which usually pollute exactly 100% of the received messages. Taking advantage of the social characteristic inherent in WSN, we propose a new distributed approach that establishes reputation-based trust among sensor nodes in order to identify the informative upstream sensor nodes. With referred theory of social networks, the informative relay nodes are selected and marked with high trust value. The two methods of L1 optimization and utilizing social characteristic coordinate with each other, and can correct the propagated error whose fraction is even exactly 100% in WSN where network coding is performed. The effectiveness of the error correction scheme is validated through simulation experiments.

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Pseudo-Random Error-Correcting Codes in Network Coding

Vladimirov

2023

EAI/Springer Innovations in Communication and Computing

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Combining forward error correction and network coding in bufferless networks: A case study for optical packet switching

Cited by 11 publications

References 19 publications

Link-Disjoint Multipath Routing for Network Traffic Overload Handling in Mobile Ad-hoc Networks

Link-Disjoint Multipath Routing for Network Traffic Overload Handling in Mobile Ad-hoc Networks

The Application of Social Characteristic and L1 Optimization in the Error Correction for Network Coding in Wireless Sensor Networks

Pseudo-Random Error-Correcting Codes in Network Coding

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