Modeling the impact of clustering with random event arrival on the lifetime of WSN

Mirza Ferdous Rahman, Farhad Mehdipour, Hiroshi Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Energy efficiency and network lifetime are the most critical issues for Wireless Sensor Networks (WSNs). Clustering is one of the well-known techniques to reduce the energy consumption of the network and improving its lifetime as well. However, clustering itself is time and energy-consuming. Besides, some other ultimate factors such as radio propagation models; network traffic probability are also influencing factors of energy consumption. To ensure the energy efficient network operation, it is essential to taken into account the mentioned factors. Since the number of events occurred inside the network are directly related to the node's energy consumption. For this reason based on the random event arrival; it is crucial to determine an appropriate clustering frequency so that the network lifetime is maximized. We rely on the Poisson distribution, where we can assume random event arrival inside the network. Again formulate clustering problem and sketch a guideline on acquiring an optimal number of clustering in favor of height network lifetime.

Original languageEnglish
Title of host publicationProceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
PublisherAssociation for Computing Machinery
Pages292-296
Number of pages5
ISBN (Electronic)9781450347938
DOIs
Publication statusPublished - Dec 17 2016
Event5th International Conference on Network, Communication and Computing, ICNCC 2016 - Kyoto, Japan
Duration: Dec 17 2016Dec 21 2016

Publication series

NameACM International Conference Proceeding Series

Other

Other5th International Conference on Network, Communication and Computing, ICNCC 2016
CountryJapan
CityKyoto
Period12/17/1612/21/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Rahman, M. F., Mehdipour, F., & Furukawa, H. (2016). Modeling the impact of clustering with random event arrival on the lifetime of WSN. In Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016 (pp. 292-296). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3033288.3033331