1st International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Localization of sensor networks considering energy accuracy tradeoffs

  • @INPROCEEDINGS{10.1109/COLCOM.2005.1651221,
        author={Santosh Pandey and Pratap Prasad and Priyanka Sinha and Prathima Agrawal},
        title={Localization of sensor networks considering energy accuracy tradeoffs},
        proceedings={1st International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2006},
        month={7},
        keywords={Airplanes  Batteries  IP networks  Light scattering  MATLAB  Potential energy  Relays  Routing  Sensor phenomena and characterization  Springs},
        doi={10.1109/COLCOM.2005.1651221}
    }
    
  • Santosh Pandey
    Pratap Prasad
    Priyanka Sinha
    Prathima Agrawal
    Year: 2006
    Localization of sensor networks considering energy accuracy tradeoffs
    COLLABORATECOM
    IEEE
    DOI: 10.1109/COLCOM.2005.1651221
Santosh Pandey1,*, Pratap Prasad1,*, Priyanka Sinha1,*, Prathima Agrawal1,*
  • 1: Department of Electrical and Computer Engineering, Auburn University
*Contact email: pandesg@auburn.edu, prasaps@auburn.edu, sinhapr@auburn.edu, pagrawal@auburn.edu

Abstract

Localization in sensor networks is a prerequisite for associating the sensed phenomenon to a particular location. Various aspects of sensor network localization have recently been studied. However, amongst the vast number of localization schemes proposed, tradeoff between the energy required for localization and resulting accuracy of localization is not addressed. In a highly resource-constrained environment such as a sensor network, it is important to address the above energy accuracy relationship during the localization process. Network lifetime is enhanced by applying energy-aware localization schemes periodically. In this paper, a localization algorithm is presented which transforms the network into a system of springs. Using optimization techniques the stable state of such a system is determined, which yields the locations of the nodes in the network. The energy accuracy tradeoff obtained from the algorithm is studied using MATLAB simulations. Results for a centralized and distributed implementation of the scheme are presented.