Quality, Reliability, Security and Robustness in Heterogeneous Networks. 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers

Research Article

Sensor Distribution on Coverage in Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-29222-4_24,
        author={Miao Peng and Yang Xiao and Hui Chen and Qi Hao and Athanasios Vasilakos and Jie Wu},
        title={Sensor Distribution on Coverage in Sensor Networks},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2012},
        month={10},
        keywords={Coverage sensor network distribution},
        doi={10.1007/978-3-642-29222-4_24}
    }
    
  • Miao Peng
    Yang Xiao
    Hui Chen
    Qi Hao
    Athanasios Vasilakos
    Jie Wu
    Year: 2012
    Sensor Distribution on Coverage in Sensor Networks
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-29222-4_24
Miao Peng1,*, Yang Xiao1,*, Hui Chen2,*, Qi Hao3,*, Athanasios Vasilakos4,*, Jie Wu5,*
  • 1: University of Alabama
  • 2: Virginia State University
  • 3: Electrical and computer engineering
  • 4: Univ. of Western Macedonia
  • 5: Temple University
*Contact email: mpeng@crimson.ua.edu, yangxiao@ieee.org, huichen@ieee.org, qh@eng.ua.edu, vasilako@ath.forthnet.gr, jiewu@temple.edu

Abstract

In this paper, we study the impacts of sensor node distributions on network coverage. We first show the impacts on network coverage by adopting different sensor node distributions through both analytical and simulation studies. Then, we adopt a distribution-free approach to study network coverage, in which no assumption of probability distribution of sensor node locations is needed. The proposed approach has yielded good estimations of network coverage.