Energy Efficient Data Processing in Sensor Networks

被引:0
作者
Prakash, G. L. [1 ]
Thejaswini, M. [1 ]
Manjula, S. H. [1 ]
Venugopal, K. R. [1 ]
Patnaik, L. M. [1 ]
机构
[1] Bangalore Univ, Dept Comp Sci & Engn, Univ Visvesvaraya Coll Engn, Bangalore 560001, Karnataka, India
来源
IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2009年
关键词
Aggregation; Communication; Power Consumption; Query Processing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The sensor nodes in a Wireless Sensor Network(WSN) are tiny devices operating on batteries and employing low-power radio transceivers to enable communication. Minimizing energy consumption has been a major objective at all levels in sensor networks. In this paper, we present, a data processing scheme that maintains the user-specified quality of data requirement while significantly reducing the overall energy consumption. Specifically, since communication dominates power usage in sensor networks, it exploits end-user temporal coherency tolerances to reduce the amount of information transmitted by individual nodes. We compare our proposed scheme against an existing data aggregation scheme with a local sensor cache. We present experimental results measuring both power savings and also the quality of data for group-by queries. These results show that our method can reduce power consumption by up to 60 percent without any loss in the quality.
引用
收藏
页码:477 / 482
页数:6
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