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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks

Author 1: Susumu Matsumae Author 2: Fukuhito Ooshita
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 4 · Published 2013

DOI: https://doi.org/10.14569/IJACSA.2013.040412

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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.

Keywords

wireless sensor networks geographical adaptive fidelity energy conservation network lifetime

How to Cite this Article

Matsumae, S., & Ooshita, F. (2013). Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks. International Journal of Advanced Computer Science and Applications, 4(4). https://doi.org/10.14569/IJACSA.2013.040412

Matsumae, Susumu, and Fukuhito Ooshita. "Hierarchical Low Power Consumption Technique with Location Information for Sensor Networks." International Journal of Advanced Computer Science and Applications, vol. 4, no. 4, 2013, https://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},
  volume    = {4},
  number    = {4},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Susumu Matsumae and Fukuhito Ooshita},
  doi       = {10.14569/IJACSA.2013.040412},
  url       = {https://doi.org/10.14569/IJACSA.2013.040412}
}

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