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Barrier coverage with discrete levels of sensing and transmission power in wireless sensor networks

  • Harbin Institute of Technology Shenzhen
  • University of Prince Edward Island

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

Abstract

Barrier coverage is widely used in border surveillance. Most literatures only consider sensing in barrier coverage. In this paper, we consider not only sensing but also communication in barrier coverage under a more practical environment: multi-hop wireless sensor networks. We assume that each sensor has k+1 adjustable sensing power levels and k+1 adjustable transmission power levels. Sensing data should be aggregated and transmitted to the sink node within a latency constraint. We call minimizing the individual node’s maximum energy cost for barrier coverage subject to the latency constraint as the MIME problem. We propose several algorithms to solve the MIME problem. Firstly, we devise a distributed algorithm to minimize the sensing energy cost 1-local barrier coverage, then we use Divide and Conquer method to construct none-crossing k-barrier coverage. Finally we devise a heuristic algorithm to construct a data aggregation tree that satisfies nodes in barriers transmitting data to the sink node within the latency constraint. Simulations show that the proposed algorithms are efficient and outperform other existing algorithms.

Original languageEnglish
Title of host publicationAdvances in Wireless Sensor Networks - The 8th China Conference, CWSN 2014, Xi’an, China, October 31 - November 2, 2014 Revised Selected Papers
EditorsLimin Sun, Huadong Ma, Dingyi Fang, Jinping Niu, Wei Wang
PublisherSpringer Verlag
Pages14-23
Number of pages10
ISBN (Print)9783662469804
DOIs
StatePublished - 2015
Externally publishedYes
Event8th China Wireless Sensor Network Conference, CWSN 2014 - Xi’an, China
Duration: 31 Oct 20142 Nov 2014

Publication series

NameCommunications in Computer and Information Science
Volume501
ISSN (Print)1865-0929

Conference

Conference8th China Wireless Sensor Network Conference, CWSN 2014
Country/TerritoryChina
CityXi’an
Period31/10/142/11/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Barrier coverage
  • Data aggregation
  • Energy efficiency
  • Sensor networks

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