1st International ICST Conference on Communications and Networking in China

Research Article

Low Energy, Distributed, and QoS-Coverage-Preserving Architecture for Cluster-Based Sensor Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344689,
        author={Hend  Alqamzi and Jing Li (Tiffany)},
        title={Low Energy, Distributed, and QoS-Coverage-Preserving Architecture for Cluster-Based Sensor Networks},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2007},
        month={4},
        keywords={},
        doi={10.1109/CHINACOM.2006.344689}
    }
    
  • Hend Alqamzi
    Jing Li (Tiffany)
    Year: 2007
    Low Energy, Distributed, and QoS-Coverage-Preserving Architecture for Cluster-Based Sensor Networks
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344689
Hend Alqamzi1,*, Jing Li (Tiffany)1,*
  • 1: ECE Department, Lehigh University, Bethlehem, PA 18015
*Contact email: hsa2@ece.lehigh.edu, jingli@ece.lehigh.edu

Abstract

An important design challenge for node scheduling is to extend the lifespan of sensor networks while preserving sufficient sensing coverage after switching off some sensors. This paper adapts the energy-balanced coordinated node scheduling (ECONS) scheme, a distributed and adaptive protocol previously developed for flat sensor-net architecture, to the clustered architecture. ECONS exploits a geometry-inclusive approach to accurately determine the sensing coverage and the sleeping eligibility, effectively balances the energy consumption among different sensors, and consumes minimal communication overhead. The paper further integrates ECONS with the existing distributed clustering and routing protocols that are specifically designed for cluster-based dense sensor networks, and proposes a new architecture, referred to as the low-energy, distributed and QoS-coverage-preserving (EEDS) architecture. The system performance of EEDS is evaluated under two exemplary cases that require high and low QoS on sensing coverage, respectively.