3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks

Research Article

Energy-aware geographic routing in lossy wireless sensor networks with environmental energy supply

  • @INPROCEEDINGS{10.1145/1185373.1185384,
        author={Kai Zeng and Kui Ren and Wenjing  Lou and Patrick J.  Moran},
        title={Energy-aware geographic routing in lossy wireless sensor networks with environmental energy supply},
        proceedings={3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks},
        publisher={ACM},
        proceedings_a={QSHINE},
        year={2006},
        month={8},
        keywords={},
        doi={10.1145/1185373.1185384}
    }
    
  • Kai Zeng
    Kui Ren
    Wenjing Lou
    Patrick J. Moran
    Year: 2006
    Energy-aware geographic routing in lossy wireless sensor networks with environmental energy supply
    QSHINE
    ACM
    DOI: 10.1145/1185373.1185384
Kai Zeng1,*, Kui Ren1,*, Wenjing Lou1,*, Patrick J. Moran2,*
  • 1: Department of ECE, Worcester Polytechnic Institute, MA 01609
  • 2: AirSprite Technologies, Inc., Marlborough, MA 01752
*Contact email: kzeng@wpi.edu, kren@wpi.edu, wjlou@wpi.edu, pmoran@airsprite.com

Abstract

Wireless sensor networks are characterized by multihop wireless lossy links and resource constrained nodes. Energy efficiency is a major concern in such networks. In this paper, we study Geographic Routing with Environmental Energy Supply (GREES) and propose two protocols, GREES-L and GREES-M, which combine geographic routing and energy-aware routing techniques and take into account the realistic lossy wireless channel condition and the renewal capability of environmental energy supply when making routing decisions. Simulation results show that GREESs are more energy efficient than the corresponding residual energy based protocols and geographic routing protocols without energy awareness. GREESs can maintain higher mean residual energy on nodes, and achieve better load balancing in terms of having smaller standard deviation of residual energy on nodes. Both GREES-L and GREES-M exhibit graceful degradation on end-to-end delay, but do not compromise the end-to-end throughput performance.