Energy Efficient Backbone Formation Using Particle Swarm Optimization Algorithm in Wireless Sensor Networks

Poostfroushan, Samaneh; Sarram, Mehdi Agha; Sheikhpour, Razieh

doi:10.14257/ijgdc.2014.7.1.12

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…Some of the frequently used swarm intelligent techniques include ant colony optimization, bee colony optimization, particle swarm optimization etc. Rahman and Matin [44], Loscri et al [45], and Poostfroushan et al [46] have used particle swarm optimization for locating the best position of sink for achieving energy efficiency. Zhong [47] and Ping [48] have used ant colony optimization for enhancing the network lifetime using mobile sink.…”

Section: Swarm Intelligencementioning

confidence: 99%

Trends and Technologies Used for Mitigating Energy Efficiency Issues in Wireless Sensor Network

P¹,

Usha²

2015

IJCA

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In the recent times, various applications are conceptualized where wireless sensor network (WSN) is used either as a subnetwork or as a complete domain. WSN having its unique characteristics, because of that the applicable protocols for congestion control, routing and security require distinguished mechanism as compared to other wireless networks such as WLAN, MANET, etc. One of the most irreversible resources is battery power. Since year 2000 a project called µAMS in Massachusetts Institute of technology (MIT), where Wendi Heizelman has introduced a communication protocol called Low Energy Adaptive clustered Hierarchy (LEACH). Since then, till today enormous amount of research schemes have been suggested to have different layers protocols in WSN, with optimal use of energy. This paper aims to study, investigate and analyze various contributions, limitations, technology used towards energy optimization based protocol development in WSN. The outcome of this paper will be quite valuable fro academicians, industries and researchers as a one hand tool to understand future research directions.

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