• DocumentCode
    1578372
  • Title

    On Broadcasting in Wireless Sensor Networks with Irregular and Dynamic Radio Coverage

  • Author

    Hsu, Li-Chun ; King, Chung-Ta ; Banerjee, Amit

  • Author_Institution
    Dept. of Comput. Sci., Nat. TsingHua Univ., Hsinchu
  • fYear
    2007
  • Firstpage
    55
  • Lastpage
    55
  • Abstract
    Broadcast in radio-based wireless networks has been a difficult problem. When a node broadcasts, all nodes within its radio coverage will attempt to relay the message by rebroadcasting, causing excessive radio communication in the region that leads to the broadcast storm problem. Most previous solutions assumed a perfect radio condition with a static, circular coverage. However, in real situations, radio signals are very dynamic and irregular in their coverage. This is especially true for wireless sensor networks, which usually employ low quality radio modules to reduce the cost. Assuming no location information is available, we approach the problem in this paper from two aspects: space and time. To solve the irregularity in space in radio coverage, we propose a scheme that is able to find the neighbors on the rim of the irregular radio coverage region to narrow down the choices of the forwarders. To solve the dynamic in radio coverage, we consider an on-demand, stateless strategy to reduce the overhead of maintaining the state information. Through simulation, we compare the resultant algorithm, called RIM, with Double-Covered Broadcast (DCB) [10], one of the best algorithms proposed so far. The results show that under dense deployment and irregular and dynamic radio coverage, our algorithm performs better.
  • Keywords
    radio broadcasting; wireless sensor networks; double-covered broadcast; dynamic radio coverage; radio-based wireless networks; wireless sensor networks; Computer science; Costs; Frequency; Intelligent sensors; Radio broadcasting; Radio communication; Relays; Storms; Stress; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2007. ICPP 2007. International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    0190-3918
  • Print_ISBN
    978-0-7695-2933-2
  • Type

    conf

  • DOI
    10.1109/ICPP.2007.61
  • Filename
    4343862