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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 4, 2013.
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.
Susumu Matsumae and Fukuhito Ooshita, “Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 4(4), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040412
@article{Matsumae2013,
title = {Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040412},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040412},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {4},
author = {Susumu Matsumae and Fukuhito Ooshita}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.