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Effective sensing radius (ESR) and performance analysis of static and mobile sensor networks

Author

Listed:
  • Sunandita Debnath

    (National Institute of Technology (NIT) Silchar)

  • Ashraf Hossain

    (National Institute of Technology (NIT) Silchar)

  • Sultan Mahmood Chowdhury

    (National Institute of Technology (NIT) Silchar)

  • Abhishek Kumar Singh

    (National Institute of Technology (NIT) Silchar)

Abstract

In wireless sensor networks (WSNs), deterministic sensing model has been widely studied and explored for its coverage analysis. Boolean sensing model falls under the deterministic category, which considers a fixed sensing radius, although it is not a realistic assumption. In the literature other probabilistic sensing models like Elfes sensing model and shadow fading sensing model are also considered. However, the linking between the Boolean sensing model and probabilistic sensing models has not yet been analyzed. Nowadays, mobile sensor networks (MSNs) are becoming a hot research topic for their diverse area of applications. It comes with many mathematical and analytical complexities for coverage performance analysis due to continuous topological changes. In this paper, we derive the expression of effective sensing radius (ESR) for probabilistic sensing models to make the link between these sensing models. We also extend our study to MSNs for studying performance analysis such as network coverage fraction and intruder detection time by utilizing ESR of probabilistic sensing models. Our proposed ESR is suitable for analyzing and planning of WSNs.

Suggested Citation

  • Sunandita Debnath & Ashraf Hossain & Sultan Mahmood Chowdhury & Abhishek Kumar Singh, 2018. "Effective sensing radius (ESR) and performance analysis of static and mobile sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(1), pages 115-127, May.
    • Handle: RePEc:spr:telsys:v:68:y:2018:i:1:d:10.1007_s11235-017-0379-z
    DOI: 10.1007/s11235-017-0379-z
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