ew 18(20): e11

Research Article

A Comparative Study of Various Location Prediction and Interpolation Techniques

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  • @ARTICLE{10.4108/eai.12-9-2018.155741,
        author={J. Ananthi and S. Hamsa Nandhini and Dr. N. Sengottaiyan},
        title={A Comparative Study of Various Location Prediction and Interpolation Techniques},
        journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
        volume={5},
        number={20},
        publisher={EAI},
        journal_a={EW},
        year={2018},
        month={9},
        keywords={Wireless Sensor Networks, Interpolation techniques, Location Prediction},
        doi={10.4108/eai.12-9-2018.155741}
    }
    
  • J. Ananthi
    S. Hamsa Nandhini
    Dr. N. Sengottaiyan
    Year: 2018
    A Comparative Study of Various Location Prediction and Interpolation Techniques
    EW
    EAI
    DOI: 10.4108/eai.12-9-2018.155741
J. Ananthi1,*, S. Hamsa Nandhini2, Dr. N. Sengottaiyan3
  • 1: Assistant Professor, Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu, India-641032
  • 2: Assistant Professor, Department of CT-PG, Kongu Engineering College, Perundurai, Erode, Tamilnadu India-638060
  • 3: Director Academics, Sri Shanmugha College of Engineering and Technology, Pullipalayam, Sankari Taluk, Salem, Tamil Nadu, India-637304
*Contact email: ananthijesubalan@gmail.com

Abstract

Natural catastrophe is a common phenomenon by which the living as well as nonliving entities belong to the environment faces the calamity. But the human beings can presume the disaster and take major steps to prevent it. There are many technologies available to foresee and prevent the abnormalities or variations in uncovered open regions. Wireless Sensor and Actuator Networks are exploited to monitor the physical and environmental conditions and is preferred due to its cost effectiveness, faster data transfer and accurate computation of required parameter for prediction and prevention. The WSANs are utilizing conditions such as temperature, sound, pressure, location to predict the Geological, Hydrological, and Meteorological disasters. The work mainly aims at studying about the various interpolation techniques and its advantages, disadvantages. The paper finally produces a comparative study of those interpolation techniques and finding an optimal interpolation method for wireless sensor networks.