Cluster subdivision towards power savings for randomly deployed WSNs - An analysis using 2-D spatial poisson process

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2 Citations (Scopus)

Abstract

We propose to use a 2-dimensional (2-D for short) spatial Poisson process to model a WSN with randomly deployed sensors, and use the model to analyze a scheme that subdivides the clusters of a WSN to achieve an overall power savings. We assume no knowledge of how the sensors are spread in the sensing area, and hence need a statistical process to describe the distribution of all sensors. Assuming the 2-D spatial Poisson distribution, a comprehensive analysis is performed to estimate the power savings brought about by the proposed subdivision. Using hexagon as the shape of the cluster, the analysis shows that the subdivision scheme can yield significant savings in overall power consumption of sensors in the cluster.

Original languageEnglish
Title of host publication2016 7th International Conference on Information and Communication Systems, ICICS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-161
Number of pages6
ISBN (Electronic)9781467386142
DOIs
StatePublished - 20 May 2016
Event7th International Conference on Information and Communication Systems, ICICS 2016 - Irbid, Jordan
Duration: 5 Apr 20167 Apr 2016

Publication series

Name2016 7th International Conference on Information and Communication Systems, ICICS 2016

Other

Other7th International Conference on Information and Communication Systems, ICICS 2016
CountryJordan
CityIrbid
Period5/04/167/04/16

Fingerprint

Sensors
Poisson distribution
Electric power utilization

Keywords

  • 2-D spatial Poisson process
  • Clustered WSN
  • Energy efficiency
  • Hexagonal clusters
  • Hierarchy
  • Wireless Sensor Networks

Cite this

Wang, D. (2016). Cluster subdivision towards power savings for randomly deployed WSNs - An analysis using 2-D spatial poisson process. In 2016 7th International Conference on Information and Communication Systems, ICICS 2016 (pp. 156-161). [7476103] (2016 7th International Conference on Information and Communication Systems, ICICS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IACS.2016.7476103
Wang, Dajin. / Cluster subdivision towards power savings for randomly deployed WSNs - An analysis using 2-D spatial poisson process. 2016 7th International Conference on Information and Communication Systems, ICICS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 156-161 (2016 7th International Conference on Information and Communication Systems, ICICS 2016).
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abstract = "We propose to use a 2-dimensional (2-D for short) spatial Poisson process to model a WSN with randomly deployed sensors, and use the model to analyze a scheme that subdivides the clusters of a WSN to achieve an overall power savings. We assume no knowledge of how the sensors are spread in the sensing area, and hence need a statistical process to describe the distribution of all sensors. Assuming the 2-D spatial Poisson distribution, a comprehensive analysis is performed to estimate the power savings brought about by the proposed subdivision. Using hexagon as the shape of the cluster, the analysis shows that the subdivision scheme can yield significant savings in overall power consumption of sensors in the cluster.",
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Wang, D 2016, Cluster subdivision towards power savings for randomly deployed WSNs - An analysis using 2-D spatial poisson process. in 2016 7th International Conference on Information and Communication Systems, ICICS 2016., 7476103, 2016 7th International Conference on Information and Communication Systems, ICICS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 156-161, 7th International Conference on Information and Communication Systems, ICICS 2016, Irbid, Jordan, 5/04/16. https://doi.org/10.1109/IACS.2016.7476103

Cluster subdivision towards power savings for randomly deployed WSNs - An analysis using 2-D spatial poisson process. / Wang, Dajin.

2016 7th International Conference on Information and Communication Systems, ICICS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 156-161 7476103 (2016 7th International Conference on Information and Communication Systems, ICICS 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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AB - We propose to use a 2-dimensional (2-D for short) spatial Poisson process to model a WSN with randomly deployed sensors, and use the model to analyze a scheme that subdivides the clusters of a WSN to achieve an overall power savings. We assume no knowledge of how the sensors are spread in the sensing area, and hence need a statistical process to describe the distribution of all sensors. Assuming the 2-D spatial Poisson distribution, a comprehensive analysis is performed to estimate the power savings brought about by the proposed subdivision. Using hexagon as the shape of the cluster, the analysis shows that the subdivision scheme can yield significant savings in overall power consumption of sensors in the cluster.

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Wang D. Cluster subdivision towards power savings for randomly deployed WSNs - An analysis using 2-D spatial poisson process. In 2016 7th International Conference on Information and Communication Systems, ICICS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 156-161. 7476103. (2016 7th International Conference on Information and Communication Systems, ICICS 2016). https://doi.org/10.1109/IACS.2016.7476103