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Research Journal of Information Technology
  Year: 2011 | Volume: 3 | Issue: 2 | Page No.: 81-92
DOI: 10.3923/rjit.2011.81.92
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Indoor Child Tracking in Wireless Sensor Network using Fuzzy Logic Technique

Azat Rozyyev, Halabi Hasbullah and Fazli Subhan

Recent advances in telecommunication technology has led to the development of sensor networks. The sensor networks have become part of everyday lives for people. There are many applications that have been developed using these networks. There are many localization techniques available for use but the use of these applications depends on the requirements of the application. This study chooses the localization technique to be used in Child Tracking application. The localization is divided into two steps: signal measurement and position computation. Signal measurement step requires the sensors to measure some signal properties. And then the measurements of the signal are used in the computation of the location in the 2nd step, position computation. Two of the most widely used methods, triangulation and trilateration, are described in the study, as well as, few newer methods. In this study, fuzzy logic is proposed to be used as a technique for the localization of the target node. Fuzzy logic does not require the complex calculations that other methods do. The steps for the localization using fuzzy logic are described.
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  •    Mining Data Generated by Sensor Networks: A Survey
  •    Combined K-Nearest Neighbors and Fuzzy Logic Indoor Localization Technique for Wireless Sensor Network
  •    A Specification Based Intrusion Detection Mechanism for the LEACH Protocol
  •    Fuzzy Cellular Automata Based Random Numbers Generation
  •    Neural Network for Object Tracking
  •    Range-Based Clock Synchronization Protocol for Wireless Sensor Networks
  •    Survey of Localization Techniques in Wireless Sensor Networks
  •    Non-singleton Fuzzy Logic Control of a DC Motor
How to cite this article:

Azat Rozyyev, Halabi Hasbullah and Fazli Subhan, 2011. Indoor Child Tracking in Wireless Sensor Network using Fuzzy Logic Technique. Research Journal of Information Technology, 3: 81-92.

DOI: 10.3923/rjit.2011.81.92






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