DocumentCode :
2891625
Title :
Lifetime Optimization for Wireless Sensor Networks Using the Nonlinear Battery Current Effect
Author :
Zhang, Jiucai ; Ci, Song ; Sharif, Hamid ; Alahmad, Mahmoud
Author_Institution :
Dept. of Comput. & Electron. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
One of the design challenges of wireless sensor networks is the tradeoff between network operation time and network coverage. Recent studies reveal that the useable battery capacity drops faster at a higher discharge current in a nonlinear fashion. To take advantage of this battery current effect, in this paper we explore a new sensor node deployment scheme to prolong the entire sensor network lifetime as well as each individual sensor node. The key idea of the proposed scheme is to assign a sensor node having higher traffic load to adopt lower transmission power level. In this way, batteries of all nodes in a given area are discharged at the same current, thus they are depleted at the same time. Extensive simulations have conducted to evaluate the performance of the proposed sensor node deployment scheme. Compared with peer work on heterogeneous deployment, the useable battery capacity by using the proposed scheme can be improved by 26.67%, and the operating time per sensor node can be enhanced by 20.95%. Furthermore, the proposed deployment scheme can reduce the number of sensor nodes required to cover the given area, leading to a significant reduction of deployment cost.
Keywords :
cells (electric); telecommunication power supplies; wireless sensor networks; heterogeneous deployment; individual sensor node; lifetime optimization; lower transmission power level; network coverage; network operation time; nonlinear battery current effect; sensor network lifetime; sensor node deployment; useable battery capacity; wireless sensor network; Batteries; Capacitive sensors; Costs; Design engineering; Energy consumption; Peer to peer computing; Sensor phenomena and characterization; Telecommunication traffic; USA Councils; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
ISSN :
1938-1883
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
Type :
conf
DOI :
10.1109/ICC.2009.5199132
Filename :
5199132
Link To Document :
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