3rd International ICST Conference on COMmunication System SoftWAre and MiddlewaRE

Research Article

Estimation of Node Density for an Energy Efficient Deployment Scheme in Wireless Sensor Network

  • @INPROCEEDINGS{10.1109/COMSWA.2008.4554386,
        author={Anand Seetharam and Abhishek Bhattacharyya and Mrinal.K Naskar and Amitava Mukherjee},
        title={Estimation of Node Density for an Energy Efficient Deployment Scheme in Wireless Sensor Network},
        proceedings={3rd International ICST Conference on COMmunication System SoftWAre and MiddlewaRE},
        publisher={IEEE},
        proceedings_a={COMSWARE},
        year={2008},
        month={6},
        keywords={Wireless sensor network coverage connectivity equal energy dissipation idle and sleep times.},
        doi={10.1109/COMSWA.2008.4554386}
    }
    
  • Anand Seetharam
    Abhishek Bhattacharyya
    Mrinal.K Naskar
    Amitava Mukherjee
    Year: 2008
    Estimation of Node Density for an Energy Efficient Deployment Scheme in Wireless Sensor Network
    COMSWARE
    IEEE
    DOI: 10.1109/COMSWA.2008.4554386
Anand Seetharam1,*, Abhishek Bhattacharyya1,*, Mrinal.K Naskar1,*, Amitava Mukherjee2,*
  • 1: Advanced Digital and Embedded Systems Lab,Department of Electronics and Telecommunications Engg., Jadavpur University, Kolkata 700032, India,
  • 2: 2IBM India Pvt. Ltd., Salt Lake, Kolkata 700091, India, 2Royal Institute of Technology, Stockholm 16044, Sweden
*Contact email: anandsthrm@yahoo.co.in, abhishek.bhattacharyyya@gmail.com, mrinalnaskar@yahoo.co.in, amitava.mukherjee@in.ibm.com

Abstract

Wireless sensor network is a collection of nodes which can communicate with each other without any prior infrastructure along with the ability to collect data autonomously, effectively and robustly after being deployed in an ad-hoc fashion to monitor a given area. Since these nodes communicate in wireless sensor network one major problem often encountered in this network is obtaining an optimal balance among the number of nodes deployed, energy efficiency and lifetime. In this paper we propose an effective method to estimate the number of nodes to be deployed in a given area for a predetermined lifetime so that total energy utilization and 100% connectivity are ensured. This scheme also guarantees that during each data collection cycle, each node dissipates the requisite minimum amount of energy, which also minimizes the number of nodes required to achieve a desired network lifetime. Extensive simulations have been carried out to establish the effectiveness of the scheme.