Impact of sensing model on wireless sensor network coverage

Impact of sensing model on wireless sensor network coverage

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Network coverage is an important issue for wireless sensor network. It depends on several factors including sensing model that has been used to design the network model. The sensor nodes are prone to be non-functional because of noise, battery energy depletion, software and hardware problems. Hence, it is relevant to assess network coverage considering node failure as a parameter. In the literature, coverage has been extensively studied for Boolean and shadow-fading sensing models. However, Elfes sensing model has not been considered. In this study, the authors investigate the impact of sensing model and node failure on network coverage. Also, temporal variation of coverage has been investigated. A strategy for maintaining constant coverage is proposed.


    1. 1)
    2. 2)
    3. 3)
      • A. Elfes , S.S. Iyenger , A. Elfes . (1991) Occupancy grids: a stochastic spatial representation for active robot perception, Autonomous mobile robots: perception, mapping and navigation.
    4. 4)
      • Liu, B., Towsley, D.: `A study on the coverage of large-scale sensor networks', Proc. 1st IEEE Int. Conf. on Mobile Ad Hoc and Sensor Systems (MASS 2004), 24–27 October 2004, Fort Lauderdale, Florida, USA, p. 475–483.
    5. 5)
      • M. Liu , J. Cao , W. Lou , L.-J. Chen , X. Li . (2005) Coverage analysis for wireless sensor networks, Lecture Notes in Computer Science (LNCS).
    6. 6)
    7. 7)
      • Adlakha, S., Srivastava, M.: `Critical density thresholds for coverage in wireless sensor networks', Proc. IEEE Conf. on Wireless Communications and Networking (WCNC 2003), March 2003, New Orleans, USA, p. 1615–1620.
    8. 8)
      • Bai, X., Kumar, S., Xuan, D., Yun, Z., Lai, T.H.: `Deploying wireless sensors to achieve both coverage and connectivity', Proc. 7th ACM Int. Symp. on Mobile Ad Hoc Networking and Computing (MobiHoc 2006), 22–25 May 2006, Florence, Italy, p. 131–142.
    9. 9)
    10. 10)
      • Huang, C-F., Tseng, Y.-C.: `The coverage problem in a wireless sensor network', Proc. ACM Int. Workshop on Wireless Sensor Networks and Applications (WSNA 2003), September 2003, San Diego, CA, USA, p. 115–121.
    11. 11)
      • Tao, L., Zhishu, L., Xiang, X., Sida, L.: `Shadowing effects and edge effect on sensing coverage for wireless sensor networks', Proc. 5th Int. Conf. on Wireless Communications, Networking and Mobile Computing (WiCom 2009), 24–26 September 2009.
    12. 12)
      • Aijun, O., Tao, Y., Jinming, Y., Jiawei, W., Yiming, W.: `Modeling wireless sensor network coverage based on random radius', Proc. 4th Int. Congress on Image and Signal Processing (CISP 2011), 15–17 October 2011, Shanghai, p. 2603–2606.
    13. 13)
      • Hongyan, W., Xuefeng, Z., Xueyun, S.: `Coverage based irregular sensing model in wireless sensor networks', Proc. Chinese Conf. on Control and Decision (CCDC 2011), 23–25 May 2011, Mianyang, China, p. 2383–2386.
    14. 14)
    15. 15)
      • Hossain, A., Chakrabarti, S., Biswas, P.K.: `Sensing models and its impact on network coverage in wireless sensor network', Proc. IEEE Region 10 Colloquium and 3rd Int. Conf. on Industrial and Information Systems (ICIIS–2008), 8–10 December 2008, Kharagpur, India.
    16. 16)
    17. 17)
      • T.S. Rappaport . (1996) Wireless communications: principles and practice.

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