DocumentCode
147230
Title
Wireless Sensor Networks -- A Comparative Study for Energy Minimization Using Topology Control
Author
Deshpande, A. ; Montiel, Claudio ; McLauchlan, Lifford
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Texas A&M Univ. - Kingsville, Kingsville, TX, USA
fYear
2014
fDate
3-4 April 2014
Firstpage
44
Lastpage
48
Abstract
Wireless sensors are generally battery-powered stand-alone devices with limited processing power and communication capabilities. Wireless sensors have limited sources of energy to power their functions. Green technologies are those designed to be more efficient in energy consumption and conservation and/or to utilize greener energy sources than used previously. Sensor network energy utilization and more efficient energy conservation are major areas of concern to ensure proper long term operation of a wireless sensor. Topology Control has been studied to minimize energy consumption for a wireless sensor network (WSN). A comparative study has been conducted for various WSN Topology Construction and Topology Maintenance protocols using Atarraya - a Topology Control simulator, taking into consideration the number of connected, unconnected, dead nodes as well as the energy consumed by the sensor nodes during the implementation of various protocols. Based on the simulation data, the most suitable protocol for energy minimization has been determined.
Keywords
protocols; telecommunication network topology; telecommunication power management; wireless sensor networks; Atarraya; WSN topology control simulator; battery powered stand alone devices; connected nodes; dead sensor nodes; energy conservation; energy consumption minimization; green energy source utilization; topology construction protocol; topology maintenance protocol; unconnected nodes; wireless sensor network; Maintenance engineering; Network topology; Protocols; Sensors; Topology; Wireless communication; Wireless sensor networks; Atarraya; Topology Construction; Topology Control; Topology Maintenance; Wireless sensor networks; energy minimization; energy optimization; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Technologies Conference (GreenTech), 2014 Sixth Annual IEEE
Conference_Location
Corpus Christi, TX
Type
conf
DOI
10.1109/GREENTECH.2014.30
Filename
6824622
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