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Information Journal Paper

Title

OPTIMIZED PLACEMENT OF WIRELESS SENSOR NETWORKS USING GLOBAL OPTIMIZATION ALGORITHMS AND PROBABILISTIC MODEL

Pages

  1-2

Abstract

 Introduction Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena. A sensor in WSNs covers only a limited region, depending on its sensing and communicating ranges, as well as the environment configuration. For efficient DEPLOYMENT of sensors in a WSN, the COVERAGE estimation is a critical issue.Probabilistic methods are among the most accurate models proposed for sensor COVERAGE estimation. However, most of these methods are based on raster representation of the environment for COVERAGE estimation which limits their quality. In this paper, we propose a probabilistic method for estimation of the COVERAGE of a sensor network based on RASTER MODELs, and 3D vector representation of the environment. Then, the performance of global approaches are evaluated, and the 3D VECTOR MODEL is used as an appropriate model....

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    APA: Copy

    ARGANY, MEYSAM, KARIMIPOUR, FARID, & MAFI, FATEMEH. (2018). OPTIMIZED PLACEMENT OF WIRELESS SENSOR NETWORKS USING GLOBAL OPTIMIZATION ALGORITHMS AND PROBABILISTIC MODEL. GEOGRAPHICAL DATA, 27(105 ), 1-2. SID. https://sid.ir/paper/366829/en

    Vancouver: Copy

    ARGANY MEYSAM, KARIMIPOUR FARID, MAFI FATEMEH. OPTIMIZED PLACEMENT OF WIRELESS SENSOR NETWORKS USING GLOBAL OPTIMIZATION ALGORITHMS AND PROBABILISTIC MODEL. GEOGRAPHICAL DATA[Internet]. 2018;27(105 ):1-2. Available from: https://sid.ir/paper/366829/en

    IEEE: Copy

    MEYSAM ARGANY, FARID KARIMIPOUR, and FATEMEH MAFI, “OPTIMIZED PLACEMENT OF WIRELESS SENSOR NETWORKS USING GLOBAL OPTIMIZATION ALGORITHMS AND PROBABILISTIC MODEL,” GEOGRAPHICAL DATA, vol. 27, no. 105 , pp. 1–2, 2018, [Online]. Available: https://sid.ir/paper/366829/en

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