A Survey on Energy Efficient Network Coding for Multi-hop Routing in Wireless Sensor Networks

Migabo, Emmanuel; Djouani, Karim; Olwal, Thomas O.; Kurien, Anish Mathew

doi:10.1016/j.procs.2016.08.043

Cited by 12 publications

(13 citation statements)

References 13 publications

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“…Most often, the intrasession network coding protocols in WSNs are designed to address the packet loss problem while the intersession network coding protocols are designed in order to reduce the number of packets transmissions. Both network coding protocols classified as local or global can be further classified as being either binary (XOR) or random linear (RL) [4].…”

Section: Related Workmentioning

confidence: 99%

“…Also, in a GBR scenario, network coding can considerably reduce the overall number of interest messages transmissions [4]. For transmission Figure 1: RLNC network coding process [6].…”

Section: The Random Linear Network Coding (Rlnc) Conceptmentioning

confidence: 99%

“…This means that, for a network coding scheme of = 8 and a total of 31 sensor nodes in the 1-to-2 tree architecture, we have a reduction in total number of transmissions of interest messages computed as follows [4]:…”

Section: The Random Linear Network Coding (Rlnc) Conceptmentioning

confidence: 99%

“…Antecedent to the present work is a survey work on energy efficient network coding for multihop routing in Wireless Sensor Networks by [4]. This previous work clearly identifies and presents in a form of table summary the opportunities that could be exploited through network coding in order to enhance the overall performance of WSNs.…”

Section: The Random Linear Network Coding (Rlnc) Conceptmentioning

confidence: 99%

“…Network coding has been extensively applied in wired networks' applications to increase throughput. The broadcast and diversity nature of the wireless links have recently attracted the network coding research in the wireless domain, that is, WSNs [4]. The GBR-GB and GBR-CB approaches which do not consider network coding have been shown to be energy efficient [2].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks

Migabo

Olwal

Djouani

et al. 2017

Journal of Computer Networks and Communications

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Despite its low computational cost, the Gradient Based Routing (GBR) broadcast of interest messages in Wireless Sensor Networks (WSNs) causes significant packets duplications and unnecessary packets transmissions. This results in energy wastage, traffic load imbalance, high network traffic, and low throughput. Thanks to the emergence of fast and powerful processors, the development of efficient network coding strategies is expected to enable efficient packets aggregations and reduce packets retransmissions. For multiple sinks WSNs, the challenge consists of efficiently selecting a suitable network coding scheme. This article proposes a Cooperative and Adaptive Network Coding for GBR (CoAdNC-GBR) technique which considers the network density as dynamically defined by the average number of neighbouring nodes, to efficiently aggregate interest messages. The aggregation is performed by means of linear combinations of random coefficients of a finite Galois Field of variable size GF(2 ) at each node and the decoding is performed by means of Gaussian elimination. The obtained results reveal that, by exploiting the cooperation of the multiple sinks, the CoAdNC-GBR not only improves the transmission reliability of links and lowers the number of transmissions and the propagation latency, but also enhances the energy efficiency of the network when compared to the GBR-network coding (GBR-NC) techniques.

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Section: Related Workmentioning

confidence: 99%

“…Also, in a GBR scenario, network coding can considerably reduce the overall number of interest messages transmissions [4]. For transmission Figure 1: RLNC network coding process [6].…”

Section: The Random Linear Network Coding (Rlnc) Conceptmentioning

confidence: 99%

Section: The Random Linear Network Coding (Rlnc) Conceptmentioning

confidence: 99%

Section: The Random Linear Network Coding (Rlnc) Conceptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks

Migabo

Olwal

Djouani

et al. 2017

Journal of Computer Networks and Communications

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Experimental assessment of LNC‐based cooperative communication schemes using commercial off‐the‐shelf wireless sensor network nodes

Valle

Budke

Montez

et al. 2018

Int J Communication

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Summary The use of wireless sensor network nodes to support reliable communication exposes some challenging issues. For instance, the reduced available bandwidth combined with an error‐prone communication medium impairs the provision of reliable communication services. Network coding techniques can be useful to mitigate some of these issues, where multiple message groups can be combined into single messages and retransmitted to their destinations, improving the network reliability and reducing the bandwidth consumption. However, an effective use of network coding requires the availability of wireless sensor network nodes able to encode/decode messages within the required timing constraints. This paper reports an experimental assessment of commercial off‐the‐shelf wireless sensor network nodes, running a set of network coding encoding/decoding tasks. The assessed nodes range from the high‐performance ARM Cortex‐M7 to the low capability Arduino Uno platforms, including some of the most popular ARM Cortex and ATMEL AVR processors. The performed experimental assessment demonstrates that highly complex network coding techniques (with fields as large as F28) can be efficiently implemented on a wide range of wireless sensor network nodes, including ARM Cortex, ATMEL AVR, and Arduino Uno platforms, smoothing some relevant reliable communication implementation issues.

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Interstellar‐based topology control scheme for optimal clustering performance in WSN

Jyothi

Usha

2020

Int J Communication

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Summary Clustering is one of the essential operations in wireless sensor network (WSN) to ensure organized data aggregation followed by energy efficiency. However, obtaining optimal clustering performance is yet an unsolved problem in WSN. Review of existing approaches towards cluster optimization shows that effective balance between energy efficiency and topology control is still missing. Therefore, the proposed system presents a unique topology control mechanism using a novel concept of interstellar orientation toward optimizing the clustering performance in WSN. Adopting an analytical research methodology, the proposed system introduces two interstellar‐based topology control system, which targets the maximum saving of resource consumption of the cluster head. The simulated outcome of the study shows that the proposed topology control system offers significant energy conservation performance in comparison to the existing hierarchical clustering scheme in WSN.

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A Survey on Energy Efficient Network Coding for Multi-hop Routing in Wireless Sensor Networks

Cited by 12 publications

References 13 publications

Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks

Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks

Experimental assessment of LNC‐based cooperative communication schemes using commercial off‐the‐shelf wireless sensor network nodes

Interstellar‐based topology control scheme for optimal clustering performance in WSN

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