EESRA: Energy Efficient Scalable Routing Algorithm for Wireless Sensor Networks

Many recent wireless sensor network (WSN) routing protocols are enhancements to address specific issues with the "low-energy adaptive clustering hierarchy" (LEACH) protocol. Since the performance of LEACH deteriorates sharply with increasing network size, the challenge for new WSN protocol...

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Vydáno v:IEEE access Ročník 7; s. 96974 - 96983
Hlavní autoři: Ahmed Elsmany, Eyman Fathelrhman, Omar, Mohd Adib, Wan, Tat-Chee, Altahir, Altahir Abdalla
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Clustering
Clustering algorithms
Energy efficiency
LEACH
Life span
load balancing
Protocol (computers)
Routing
Routing protocols
scalability
Spread spectrum communication
Time division multiple access
Wireless networks
Wireless sensor networks
ISSN:2169-3536, 2169-3536
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Shrnutí:Many recent wireless sensor network (WSN) routing protocols are enhancements to address specific issues with the "low-energy adaptive clustering hierarchy" (LEACH) protocol. Since the performance of LEACH deteriorates sharply with increasing network size, the challenge for new WSN protocols is to extend the network lifespan while maintaining high scalability. This paper introduces an energy-efficient clustering and hierarchical routing algorithm named energy-efficient scalable routing algorithm (EESRA). The goal of the proposed algorithm is to extend the network lifespan despite an increase in network size. The algorithm adopts a three-layer hierarchy to minimize the cluster heads' load and randomize the selection of cluster heads. Moreover, EESRA uses multi-hop transmissions for intra-cluster communications to implement a hybrid WSN MAC protocol. This paper compares EESRA against other WSN routing protocols in terms of network performance with respect to changes in the network size. The simulation results show that EESRA outperforms the benchmarked protocols in terms of load balancing and energy efficiency on large-scale WSNs.
Bibliografie:ObjectType-Article-1
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2929578