ew 18(20): e6

Research Article

EFFICIENT ENERGY MANAGEMENT APPROACH FOR TRACKING LOCATION IN WIRELESS SENSOR NETWORKS

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  • @ARTICLE{10.4108/eai.12-9-2018.155561,
        author={Dr. T. Sasilatha and M. Parameswari and Dr. P. Suresh Mohan Kumar},
        title={EFFICIENT ENERGY MANAGEMENT APPROACH FOR TRACKING LOCATION IN WIRELESS SENSOR NETWORKS},
        journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
        volume={5},
        number={20},
        publisher={EAI},
        journal_a={EW},
        year={2018},
        month={9},
        keywords={Energy management, Sensor network, Sleep scheduling, Location tracking, Help services.},
        doi={10.4108/eai.12-9-2018.155561}
    }
    
  • Dr. T. Sasilatha
    M. Parameswari
    Dr. P. Suresh Mohan Kumar
    Year: 2018
    EFFICIENT ENERGY MANAGEMENT APPROACH FOR TRACKING LOCATION IN WIRELESS SENSOR NETWORKS
    EW
    EAI
    DOI: 10.4108/eai.12-9-2018.155561
Dr. T. Sasilatha1,*, M. Parameswari2, Dr. P. Suresh Mohan Kumar3
  • 1: Dean, Department of EEE, AMET Deemed to be University, Chennai, Tamilnadu, INDIA – 603112.
  • 2: Associate Professor, Department of IT, Kings Engineering College, Chennai, Tamilnadu, INDIA – 602117.
  • 3: Professor and Dean, DMI College of Engineering, Chennai, Tamilnadu, INDIA – 600123.
*Contact email: sasi_saha@yahoo.com

Abstract

Energy administration is fundamental to stretch the system lifetime in sensor systems. In the past, the group guiding services based on RFIDs involved and remote sensor organize has a detecting field changed with different self-ruling vacationer gatherings, each with a pioneer and a few members. Sensor nodes need to track pioneer’s area and keep up following ways from members to pioneers. Minimizing the energy consumption while providing high access in location tracking is a challenging problem as sensor nodes are considered in terms of energy. We propose a solution to manage the power to such an application. An EEM (Efficient Energy Management) approach is presented. The objective is to diminish the quantity of hubs support in order to enhance the lifetime of system. The approach applies the TDMA arranged nap planning to empower dependable gathering controlling hubs effortlessly, low activity stack and at low vitality usage. The results have been derived from the NS2 simulator and shows that the proposed technique performs better than the group guiding framework.