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Sensing and Communication Energy consumption in Static Sensor Network

by G.N. Purohit, Seema Verma, Megha Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 4
Year of Publication: 2011
Authors: G.N. Purohit, Seema Verma, Megha Sharma
10.5120/2210-2808

G.N. Purohit, Seema Verma, Megha Sharma . Sensing and Communication Energy consumption in Static Sensor Network. International Journal of Computer Applications. 17, 4 ( March 2011), 13-20. DOI=10.5120/2210-2808

@article{ 10.5120/2210-2808,
author = { G.N. Purohit, Seema Verma, Megha Sharma },
title = { Sensing and Communication Energy consumption in Static Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 4 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number4/2210-2808/ },
doi = { 10.5120/2210-2808 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:07.423592+05:30
%A G.N. Purohit
%A Seema Verma
%A Megha Sharma
%T Sensing and Communication Energy consumption in Static Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 4
%P 13-20
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A sensor network normally constitutes a Wireless ad-hoc network, meaning that in it each sensor supports a multi-hop routing algorithm (several nodes may forward data packets to the base station). But the sensor nodes suffer from constrained resources i.e., sensors have limited energy resources and their functionality continue only until their energy is drained out. Therefore the limited energy resource in these nodes demands an efficient consumption of these resources which should be managed wisely to extend the lifetime of sensors. In this paper, we study the problem of energy-efficient coverage and we propose various models for placing nodes in a static network. We consider a hexagonal model in two-dimensional deployment and a cubical/hexagonal-prism model for deploying sensors in space. Further, we have considered a rectangular grid divided into regular hexagons and the space covered by cubes and hexagonal-prisms. We have calculated the sensing energy and communication energy consumptions in each model and compared the same with the existing models. However, as far as we know there is no such model for covering the space.

References
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Index Terms

Computer Science
Information Sciences

Keywords

energy-consumption hexagonal-prism cube coverage models sensing nodes

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