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Localization in Wireless Sensor Networks Using Soft Computing Approach

Author

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  • Sunil Kumar Singh

    (National Institute of Technology Patna, Patna, India)

  • Prabhat Kumar

    (Department of Computer Science and Engineering, National Institute of Technology Patna, Patna, India)

  • Jyoti Prakash Singh

    (National Institute of Technology Patna, Patna, India)

Abstract

Wireless sensor network (WSN) is formed by a large number of low-cost sensors. In order to exchange information, sensor nodes communicate in an ad hoc manner. The acquired information is useful only when the location of sensors is known. To use GPS-aided devices in each sensor makes sensors more costly and energy hungry. Hence, finding the location of nodes in WSNs becomes a major issue. In this paper, the authors propose a combination of range based and range-free localization scheme. In their scheme, for finding the distance, they use received signal strength indication (RSSI), which is a range based center of gravity technique. For finding the location of non-anchor nodes, the authors assign weights to anchor and non-anchor nodes based on received signal strength. The weight, which is assigned to anchor and non-anchor nodes, are designed by fuzzy logic system (FLS).

Suggested Citation

  • Sunil Kumar Singh & Prabhat Kumar & Jyoti Prakash Singh, 2017. "Localization in Wireless Sensor Networks Using Soft Computing Approach," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 11(3), pages 42-53, July.
    • Handle: RePEc:igg:jisp00:v:11:y:2017:i:3:p:42-53
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