Sink attributes analysis for energy efficient operations of wirelesssensor networks under randomly varying temporal and spatialaspects of query generationPramod

Pramod, Kumar and Chaturvedi, Ashvini (2015) Sink attributes analysis for energy efficient operations of wirelesssensor networks under randomly varying temporal and spatialaspects of query generationPramod. International Journal of Electronics and Communications, 69. pp. 1058-1069.

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Abstract

tRapid advances and the development, compactness and economic viability; in IC technology, networkhardware components and associated software have completely change the networking paradigm. Thewireless sensor networks (WSNs) have also been not isolated from this unexpected changeover. Thispaper addresses three principal aspects that have been of interest in the WSN researcher community.These are investigating the suitable cluster formation scheme from some prominent scheme, incorporat-ing the Spatio-temporal aspects of random query generation and subsequently model it using appropriateand extensively used probabilistic distribution functions, and exploring the importance of sink node(s)attributes towards much better energy profile of the WSN, as the energy consumption have been a vitalcomponent in deciding the overall network service conditions. The integration of these three aspectsled to various case studies, which principally involves, uses of SKM, SFCM, DKM and DFCM as clusteringschemes, uniform and Poisson probability mass functions uses to mathematically model the Spatio-temporal dependence of query distribution pattern, and the network surveillance by a single stationarysink, a moveable sink and four stationary sinks. The simulation results of various case studies are analyzedand compared

Item Type: Article
Uncontrolled Keywords: Poisson distributionDynamic fuzzy-c-means (DFCM)Average residual energy status (ARES)Critical residual energy status (CRES)Wireless sensor networks (WSNs
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 30 Jun 2017 10:31
Last Modified: 30 Jun 2017 10:31
URI: http://eprints.manipal.edu/id/eprint/149227

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