文章基本信息

标题：Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks
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作者：Susumu Matsumae ; Fukuhito Ooshita
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2013
卷号：4
期号：4
DOI：10.14569/IJACSA.2013.040412
出版社：Science and Information Society (SAI)
摘要：In the wireless sensor networks composed of battery-powered sensor nodes, one of the main issues is how to save power consumption at each node. The usual approach to this problem is to activate only necessary nodes (e.g., those nodes which compose a backbone network), and to put other nodes to sleep. One such algorithm using location information is GAF (Geographical Adaptive Fidelity), and the GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity). In this paper, we show that we can further improve the energy efficiency of HGAF by modifying the manner of dividing sensor-field. We also provide a theoretical bound on this problem.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; wireless sensor networks; geographical adaptive fidelity; energy conservation; network lifetime