Enhanced Cuckoo Search Routing algorithm (ECSA) for mitigate the energy consumption in Wireless Sensor Networks

The energy efficient route is among the most important thrust areas of Wireless Sensor Communication Networks (WSCNs) and is the area that draws the attention of most of the researchers due to its numerous applications and issues. Wireless sensor networks comprise a number of nodes within its terrai...

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Veröffentlicht in:NeuroQuantology 2022-01, Vol.20 (10), p.2941
Hauptverfasser: KOLLURI RAKESH, Chourasia, Bharti, KOMAL PRASAD KANOJIA, Rao, S Prabhakara
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Sprache:eng
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Zusammenfassung:The energy efficient route is among the most important thrust areas of Wireless Sensor Communication Networks (WSCNs) and is the area that draws the attention of most of the researchers due to its numerous applications and issues. Wireless sensor networks comprise a number of nodes within its terrain. Reduced energy consumption across the WSCN is crucial as the nodes are batteries powered. Numerous research methodologies were developed by researchers working in this field. The bio-inspired computing models known as the Cuckoo searching algorithm was employed in this research project to find the most energy efficient route to be followed and routing. A variety of performance indicators are considered when determining the effectiveness that the routing method including throughput, delivery ratio (PDR), energy consumption, and delay. Simulation is conducted with the aid of python and Mat lab and the results show that this routing method is superior with regard to the average amount of throughput and energy consumption.
ISSN:1303-5150
DOI:10.14704/nq.2022.20.10.NQ55258