2nd International ICST Conference on Communications and Networking in China

Research Article

AdWAS:Adaptive Weighted Aggregation Scheme for Single-hop and Multi-hop Wireless Sensor Network

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469513,
        author={Bhushan G. Jagyasi, and S. N. Merchant and Deepthi Chander and U. B. Desai and Bikash K. Dey},
        title={AdWAS:Adaptive Weighted Aggregation Scheme for Single-hop and Multi-hop Wireless Sensor Network},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Collaboration  Costs  Event detection  Network topology  Object detection  Routing  Spread spectrum communication  Temperature control  Temperature sensors  Wireless sensor networks},
        doi={10.1109/CHINACOM.2007.4469513}
    }
    
  • Bhushan G. Jagyasi,
    S. N. Merchant
    Deepthi Chander
    U. B. Desai
    Bikash K. Dey
    Year: 2008
    AdWAS:Adaptive Weighted Aggregation Scheme for Single-hop and Multi-hop Wireless Sensor Network
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469513
Bhushan G. Jagyasi,1,*, S. N. Merchant1,*, Deepthi Chander1,*, U. B. Desai1,*, Bikash K. Dey1,*
  • 1: SPANN Laboratory, Electrical Engineering Department, Indian Institute of Technology Bombay, Powai, Mumbai-76
*Contact email: bhushan@ee.iitb.ac.in, merchant@ee.iitb.ac.in, dchander@ee.iitb.ac.in, ubdesai@ee.iitb.ac.in, bikash@ee.iitb.ac.in

Abstract

In the need to conserve communication energy we consider one bit aggregation in wireless sensor network (WSN) in the context of event detection. In this paper we propose a novel Adaptive Weighted Aggregation Scheme (AdWAS) for star as well as tree topology. We compare the performance of the proposed adaptive weighted aggregation scheme with existing one bit non-adaptive aggregation schemes. In non-adaptive schemes, a slight variation in the topology or performance indices necessitate recalculation of the initial setup. However, in the proposed adaptive scheme we just need to fine tune the weights starting from the previously adapted weights to compensate for any small variation in the topology. Moreover, there is hardly any performance degradation when using AdWAS. This clearly makes the adaptive setup more appealing.