Abstract

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The Coverage Problem:

  • Ensuring Both Coverage and Connectivity for Wireless Sensor Networks
    • Study the coverage and connectivity issue from different angle
      • Do not rely on the assumption RC>2RS
      • The previous results can be regarded as special cases of what we proposed
      • More general decentralized solutions

    • Distributed protocols for
      • Determining the levels of coverage and connectivity
      • Achieve the expected levels of coverage and connectivity
      • Prolong the network lifetime

    • Main achievements and outcomes
      • Research or technology outcomes
        • As far as we know, the combination of these mechanisms has not been well studied in this field , especially when coverage and connectivity issues are concerned. These results have been published in ACM Trans. on Sensor Networks
coverage 1
  • Sensing Coverage for Randomly Distributed WSNs in Shadowed Environments
    • We have examined the impact of the shadowing effects on the sensing coverage. Sensing coverage is an important issue for sensor networks, and is viewed as one of the critical measures of the performance offered by a sensor network. The analytical results of the sensing coverage, for a large-scale randomly distributed sensor network in shadowed environments, are provided. It was found that the increase in standard deviation of the shadowing effects severely degrades the sensing coverage. For an increase of 2dB in the standard deviation, the sensing coverage degrades by about 10%.

    • Main achievements and outcomes
      • Research or technology outcomes
        • These proposed protocols can significant improve network sensing coverage and network lifetime of WSNs. This work has been presented at IEEE Globecom 2006 and published in IEEE Trans. on Wireless Communications.
coverage 2
  • A Coverage - preserving Routing Algorithm for WSNs
    • We have proposed coverage-preserving routing protocols to enhance network sensing coverage. Different routing protocols may motivate different distributions of energy dissipation among nodes. This implies that different routing protocols will lead to different sensing coverage when some nodes are no longer available. According to the simulation results, the performance of sensing coverage can be substantially improved. A gain of 20% in sensing coverage can be obtained in the middle phase by using the proposed protocols.

    • Main achievements and outcomes
      • Research or technology outcomes
        • These proposed protocols can significant improve network sensing coverage and network lifetime of WSNs. This work has been presented at IEEE Globecom 2006 and published in IEEE Trans. on Wireless Communications
coverage 3