Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 4
Abstract
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.
Authors and Affiliations
Susumu Matsumae, Fukuhito Ooshita
Keywords
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- EP ID EP98566
- DOI 10.14569/IJACSA.2013.040412
- Views 112
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