• DocumentCode
    961740
  • Title

    Distributed energy-efficient cooperative routing in wireless networks

  • Author

    Ibrahim, Amin ; Zhu Han ; Liu, K.J.R.

  • Author_Institution
    Dept. ol Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • Volume
    7
  • Issue
    10
  • fYear
    2008
  • fDate
    10/1/2008 12:00:00 AM
  • Firstpage
    3930
  • Lastpage
    3941
  • Abstract
    Recently, the merits of cooperative communication in the physical layer have been explored. However, the impact of cooperative communication on the design of the higher layers has not been well-understood yet. Cooperative routing in wireless networks has gained much interest due to its ability to exploit the broadcast nature of the wireless medium in designing power efficient routing algorithms. Most of the existing cooperation based routing algorithms are implemented by finding a shortest path route first and then improving the route using cooperative communication. As such, these routing algorithms do not fully exploit the merits of cooperative communications, since the optimal cooperative route might not be similar to the shortest path route. In this paper, we propose a cooperation-based routing algorithm, namely, the minimum power cooperative routing (MPCR) algorithm, which makes full use of the cooperative communications while constructing the minimum-power route. The MPCR algorithm constructs the minimum-power route, which guarantees certain throughput, as a cascade of the minimum-power single-relay building blocks from the source to the destination. Thus, any distributed shortest path algorithm can be utilized to find the optimal cooperative route with polynomial complexity. Using analysis, we show that the MPCR algorithm can achieve power saving of 65.61% in regular linear networks and 29.8% in regular grid networks compared to the existing cooperation-based routing algorithms, where the cooperative routes are constructed based on the shortest-path routes. From simulation results, MPCR algorithm can have 37.64% power saving in random networks compared to those cooperation-based routing algorithms.
  • Keywords
    computational complexity; radio networks; telecommunication network routing; cooperation-based routing algorithms; cooperative communication; distributed energy-efficient cooperative routing; grid networks; linear networks; minimum power cooperative routing algorithm; minimum-power route; optimal cooperative route; polynomial complexity; power efficient routing algorithms; wireless networks; Algorithm design and analysis; Decoding; Energy efficiency; MIMO; Physical layer; Quality of service; Relays; Routing; Wireless networks; Wireless sensor networks; Cooperative diversity, distributed routing, power saving, QoS;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/T-WC.2008.070502
  • Filename
    4657337