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A Study on Effect of Duty Cycle in Energy Consumption for Wireless Sensor Networks

Published on February 2013 by Jyoti Saraswat, Partha Pratim Bhattacharya
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Mobile and Embedded Technology International Conference 2013
Foundation of Computer Science USA
MECON - Number 1
February 2013
Authors: Jyoti Saraswat, Partha Pratim Bhattacharya
ab76aef7-d4bd-4cd0-9eba-9b646370da9d

Jyoti Saraswat, Partha Pratim Bhattacharya . A Study on Effect of Duty Cycle in Energy Consumption for Wireless Sensor Networks. Mobile and Embedded Technology International Conference 2013. MECON, 1 (February 2013), 43-48.

@article{
author = { Jyoti Saraswat, Partha Pratim Bhattacharya },
title = { A Study on Effect of Duty Cycle in Energy Consumption for Wireless Sensor Networks },
journal = { Mobile and Embedded Technology International Conference 2013 },
issue_date = { February 2013 },
volume = { MECON },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 43-48 },
numpages = 6,
url = { /proceedings/mecon/number1/10793-1008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Mobile and Embedded Technology International Conference 2013
%A Jyoti Saraswat
%A Partha Pratim Bhattacharya
%T A Study on Effect of Duty Cycle in Energy Consumption for Wireless Sensor Networks
%J Mobile and Embedded Technology International Conference 2013
%@ 0975-8887
%V MECON
%N 1
%P 43-48
%D 2013
%I International Journal of Computer Applications
Abstract

In Wireless Sensor Networks (WSNs), most studies define a common duty cycle value throughout the network to achieve synchronization among the nodes. On the other hand, a few studies propose adaptation of the duty cycle according to uniform traffic conditions to decrease the energy consumption and latency. In this paper, the lifetime of the node based on overall energy consumption are estimated and the effect of duty cycle on expected energy consumption is studied.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Sensor Nodes Battery Lifetime Energy Efficiency Power Management Strategies Low Power Listening Node Density Lifetime Prediction