Sensor deployment under probabilistic sensing model

Yu Ning Chen, Chiuyuan Chen

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

1 Scopus citations

Abstract

In recent years, with the rapid development of wireless sensor networks (WSNs), sensors are widely used to monitor a region of interests (ROI). Therefore sensor deployment becomes one of the important issues that need to be solved because it determines the cost of constructing the WSN and affects how well the ROI is monitored. Sensors can be deployed in a pre-planned manner or in an ad-hoc manner. Moreover, the sensing model of a WSN can be binary disk model or probabilistic sensing model. Most of previous researches focus on binary disk model, which assumes that sensors can accurately detect targets within their sensing ranges. Recently, probabilistic sensing model has been proposed; in this model, the probability for a sensor to detect a target decays with the distance between the sensor and the target. Probabilistic sensing model is therefore more realistic than the binary disk model. In [2], the sensor deployment problem in a pre-planned manner under probabilistic sensing model is solved by using a transformation from probabilistic sensing model to binary disk model. We find that such a transformation wastes too many sensors, and it can be avoided. In this paper, we solve the same problem (i.e., pre-planned deployment under probabilistic sensing model) by using a “direct” method. We show that even under a simplified probabilistic sensing model, there are examples such that more than 86% of sensors used in [2] can be saved.

Original languageEnglish
Title of host publication2018 2nd High Performance Computing and Cluster Technologies Conference, HPCCT 2018
PublisherAssociation for Computing Machinery
Pages33-36
Number of pages4
ISBN (Electronic)9781450364850
DOIs
StatePublished - 22 Jun 2018
Event2018 2nd High Performance Computing and Cluster Technologies Conference, HPCCT 2018 - Beijing, China
Duration: 22 Jun 201824 Jun 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2018 2nd High Performance Computing and Cluster Technologies Conference, HPCCT 2018
CountryChina
CityBeijing
Period22/06/1824/06/18

Keywords

  • Coverage
  • KCoverage
  • Probabilistic sensing model
  • Sensor deployment
  • Wireless sensor network

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