Energy-Efficient Routing Algorithms Using Directional Antennas for Mobile Ad Hoc Networks

  • Kang Wang
  • John G. Proakis
  • Ramesh R. Rao


Power consumption is an important issue in the wireless ad hoc networking environment. In this paper, we present several energy-efficient routing algorithms using directional antennas for wireless ad hoc networks. These algorithms are simple to implement and are distributed and can be applied to mobile environments. We evaluate how directional antennas improve system throughput. We study the influence of the battery recovery effect and mobility on the network throughput during a network lifetime. We also present an algorithm that exploits the broadcast nature of the wireless communication environment to improve end-to-end bit error performance for a Rayleigh fading channel.

Ad hoc networks directional antennas diversity energy-efficient routing algorithms 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Young-Bee Ko and N. H. Vaidya, Geocasting in mobile ad hoc networks: Location-based multicast algorithms, Proc. WMCSA '99, pp. 101–110, 1999.Google Scholar
  2. 2.
    Young-Bae Ko, V. Shankarkumar, and N. H. Vaidya, Medium access control protocols using directional antennas in ad hoc networks, Proc. Infocom 2000, Vol. 1, pp. 13–21, 2000.Google Scholar
  3. 3.
    S. Singh, M. Woo, and C. S. Raghavendra, Power-aware routing in mobile ad hoc networks, Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking, pp. 181–190, Dallas, Texas, 1998.Google Scholar
  4. 4.
    M. Ettus, System capacity, latency, and power consumption in multihop-routed SS-CDMA wireless networks, Radio and Wireless Conference (RAWCON) 98, pp. 55–58, Colorado Springs, Colorado, 1998.Google Scholar
  5. 5.
    Volkan Rodoplu and Teresa H. Meng. Minimum energy mobile wireless networks. IEEE Journal on Selected Areas in Communications, Vol. 17, No. 8, pp. 1333–1344, 1999.Google Scholar
  6. 6.
    Jae-Hwan Chang and L. Tassiulas, Energy conserving routing in wireless ad-hoc networks, Proc. Infocom 2000, Vol. 1, pp. 22–31, 2000.Google Scholar
  7. 7.
    C. F. Chiasserini and R. Rao, Routing protocols to maximize battery efficiency, Proc. MILCOM 2000, Vol. 1, pp. 496–500, 2000.Google Scholar
  8. 8.
    C. F. Chiasserini and R. Rao, Stochastic battery discharge in portable communication devices, The Fifteenth Annual Battery Conference on Applications and Advances, pp. 27–32, 2000.Google Scholar
  9. 9.
    B. W. Parkingson and J. J. Spilker, Global positioning system: Theory and applications, Vol. I, American Institute of Aeronautics and Astronautics, Washington, DC, 1996.Google Scholar
  10. 10.
    P. Gupta and P. R. Kumar, The capacity of wireless networks, IEEE Transactions on Information Theory, Vol. 46, No. 2, pp. 388–404, March 2000.Google Scholar
  11. 11.
    M. Grossglauser and D. Tse, Mobility increases the capacity of ad-hoc wireless networks, Proc. Infocom 2001, Vol. 3, pp. 1360–1369, 2001.Google Scholar
  12. 12.
    C. F. Chiasserini and R. Rao, Energy efficient battery management, Proc. INFOCOM 2000, Vol. 2, pp. 396–403, 2000.Google Scholar
  13. 13.
    D. G. Brennan, Linear diversity combining techniques, Proc. IRE, Vol. 47, pp. 1075–1102, 1959.Google Scholar

Copyright information

© Plenum Publishing Corporation 2002

Authors and Affiliations

  • Kang Wang
    • 1
  • John G. Proakis
    • 1
  • Ramesh R. Rao
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of CaliforniaLa JollaCalifornia

Personalised recommendations