A Survey on Bioinspired Cluster-Based Routing and Cognitive Approaches in Wireless Sensor Networks
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Creator Abhijit Halkai, Sujatha Terdal
Title A Survey on Bioinspired Cluster-Based Routing and Cognitive Approaches in Wireless Sensor Networks
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Publisher TuEngr Group
Publication Year 2564
Journal Title International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Journal Vol. 12
Journal No. 3
Page no. 12A3C: 1-12
Keyword WSN, sensor node, Cluster-based routing, Bio-inspired routing, Cognitive WSN (CWSN), Bioinspired clustering algorithms.
URL Website http://TuEngr.com/Vol12_3.html
Website title ITJEMAST V12(3) 2021 @ TuEngr.com
ISSN 2228-9860
Abstract Wireless sensor network (WSN) is a type of network comprising of low-cost sensor nodes with communication and computation capabilities implemented high in the monitoring areas. Crucial challenges in WSN are optimal routing, clustering, energy, and lifetime optimization. Many bioinspired clustering and cognitive techniques are induced for optimization and solve the problems. In this paper, a complete survey is carried on bioinspired clustering algorithms like Artificial Bee Colony (ABC), Bat algorithm, Honey Bee algorithm, Genetic algorithm, firefly algorithm which play important role in solving challenges. Considering Quality of Service adding the cognitive technology provides access to a new spectrum with better propagation characteristics. Although these techniques and algorithms have conceived a lot of attention in research, the domain-specific understanding is still needed to be enhanced for its establishment. This report will concisely present the survey and study of approaches like cluster-based routing, bio-inspired clustering, and cognitive techniques in WSN.
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