Selective forwarding for energy-efficient target tracking in sensor networks Articles uri icon

publication date

  • January 2014

start page

  • 557

end page

  • 569

issue

  • January

volume

  • 94

international standard serial number (ISSN)

  • 0165-1684

electronic international standard serial number (EISSN)

  • 1872-7557

abstract

  • Selective communication (censoring) strategies allow nodes in a sensor network to discard low importance messages with the purpose of saving energy that can be used for transmitting more important messages later. In this paper we apply simple selective policies based on Markov Decision Processes to a distributed target tracking scenario based on particle filters and the Information-Driven Sensor Querying (IDSQ) scheme. The resulting algorithm is combined with other energy-efficient schemes, such as data aggregation or data fusion, extending the action space of these techniques. Our simulation work shows that the network lifetime can be substantially increased while keeping a low tracking error. And even more, selecting the sampling rate properly, lifetime is prolonged without increasing the tracking error.

keywords

  • sensor networks ; energy-aware systems; target tracking ; selective communication ; censoring ; markov decision process