1st Annual Conference on Broadband Networks

Research Article

Improving energy savings in power adaptive broadcasting in MANETs

  • @INPROCEEDINGS{10.1109/BROADNETS.2004.44,
        author={Mehmet  Baysan and Saipriya Gowdamachandran and Kamil Sarac},
        title={Improving energy savings in power adaptive broadcasting in MANETs},
        proceedings={1st Annual Conference on Broadband Networks},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2004},
        month={12},
        keywords={},
        doi={10.1109/BROADNETS.2004.44}
    }
    
  • Mehmet Baysan
    Saipriya Gowdamachandran
    Kamil Sarac
    Year: 2004
    Improving energy savings in power adaptive broadcasting in MANETs
    BROADNETS
    IEEE
    DOI: 10.1109/BROADNETS.2004.44
Mehmet Baysan1,*, Saipriya Gowdamachandran1,*, Kamil Sarac1,*
  • 1: Department of Computer Science, University of Texas at Dallas
*Contact email: baysan@student.utdallas.edu, saipriya@student.utdallas.edu, ksarac@utdallas.edu

Abstract

Network wide broadcast is a frequently used operation in mobile ad hoc networks (MANETs). Many unicast protocols including dynamic source routing (DSR) and ad hoc on-demand distance vector (AODV) protocol use broadcast to discover the unicast routes toward destinations. In addition, depending on the application, broadcast can be used to deliver actual data packets to all the nodes in the network. Nodes in MANETs work with limited battery power and the efficient utilization of this power is important for increasing the lifetime of the individual nodes as well as the overall network. As a result, it is important to utilize energy efficient algorithms in achieving network wide broadcast in MANETs. In this poster paper, the authors improve the energy efficiency in power adaptive broadcast using local information. In this proposal, the authors introduce an improved algorithm for deciding the transmission power level. The paper also attempts to further increase the energy savings by reducing the redundant transmission by including an efficient forward node set at the selection algorithm.