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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2018

19.12.2017

Design of Probability Density Function Targeting Energy Efficient Network for Coalition Based WSNs

verfasst von: Richa Mishra, Vivekanand Jha, Rajeev K. Tripathi, Ajay K. Sharma

Erschienen in: Wireless Personal Communications | Ausgabe 2/2018

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Abstract

Energy consumption is one of the important issues in wireless sensor network that rely on non chargeable batteries for power. Also, the sensor network has to maintain a desired sensing coverage area along with periodically sending of the sensed data to the base station. Therefore, coverage and the lifetime are the two important issues that need to be addressed. Effective deployment of wireless sensors is a major concern as the coverage and lifetime of any wireless sensor network depends on it. In this paper, we propose the design of a Probability Density Function (PDF) targeting the desired coverage, and energy efficient node deployment scheme. The suitability of the proposed PDF based node distribution to model the network architecture considered in this work has been analyzed. The PDF divides the deployment area into concentric coronas and provides a probability of occurrence of a node within any corona. Further, the performance of the proposed PDF is evaluated in terms of the coverage, the number of transmissions of packets and the lifetime of the network. The scheme is compared with the existing node deployment schemes based on various distributions. The percentage gain of the proposed PDF based node deployment is 32\(\%\) more than that when compared with the existing schemes. Thus, the simulation results obtained confirm the schemes superiority over the other existing schemes.
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Metadaten
Titel
Design of Probability Density Function Targeting Energy Efficient Network for Coalition Based WSNs
verfasst von
Richa Mishra
Vivekanand Jha
Rajeev K. Tripathi
Ajay K. Sharma
Publikationsdatum
19.12.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5134-y

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