DocumentCode
590610
Title
Investigating Wireless Sensor Network lifetime under static routing with unequal energy distribution
Author
Xenakis, A. ; Katsavounidis, Ioannis ; Stamoulis, Georgios
Author_Institution
Univ. of Thessaly, Volos, Greece
fYear
2012
fDate
3-6 Dec. 2012
Firstpage
1
Lastpage
7
Abstract
In a Wireless Sensor Network (WSN) the sensed data must be gathered and transmitted to a base station where it is further processed by end users. Since that kind of network consists of low-power nodes with limited battery power, power efficient methods must be applied for node communication and data gathering in order to achieve long network lifetimes. In such networks where in a round of communication many sensor nodes have data to send to a base station, it is very important to minimize the total energy consumed by the system so that the total network lifetime is maximized. The lifetime of such sensor network is the time until base station can receive data from all sensors in the network. In this work1, besides the conventional protocol of direct transmission or the use of dynamic routing protocols proposed in literature that potentially aggregates data, we propose an algorithm based on static routing among sensor nodes with unequal energy distribution in order to extend network lifetime and find a near-optimal node energy charge scheme that leads to both node and network lifetime prolongation. Our simulation results show that our algorithm achieves longer network lifetimes mainly because the final energy charge of each node is not uniform, while each node is free from maintaining complex route information and thus less infrastructure communication is needed.
Keywords
routing protocols; wireless sensor networks; WSN; base station; data gathering; dynamic routing protocols; limited battery power; low-power nodes; near-optimal node energy charge scheme; network lifetime prolongation; network lifetimes; node communication; power efficient methods; sensor nodes; static routing; unequal energy distribution; wireless sensor network lifetime; Base stations; Energy states; Logic gates; Network topology; Routing; Routing protocols; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location
Hollywood, CA
Print_ISBN
978-1-4673-4863-8
Type
conf
Filename
6411757
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