Bio-inspired scheduling schemes for wireless ad hoc sensor networks

Chi Tsun Cheng, Chi Kong Tse, Chung Ming Lau

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

Wireless sensor networks, a special type of wireless ad hoc networks, consist of large numbers of wireless sensor nodes. The idea of a wireless sensor network is to achieve the same sensing quality as a remote sensing system by utilizing a large number of wireless sensor nodes to perform close-range sensing. Wireless sensor nodes are compact communication devices that can virtually fit in anywhere. They are battery-powered devices that can greatly reduce deployment overheads due to wirings. To ensure a terrain of interest is fully covered, usually more than enough wireless sensor nodes are deployed to provide redundant sensing coverage. With a proper onoff scheduling scheme, the total energy consumption of a network can be reduced without introducing significant impacts to its target detection capabilities. In this chapter, two bio-inspired scheduling schemes are revisited. In both schemes, wireless sensor nodes can decide to operate in different operation modes dynamically. The decisions are made based on local information. Performances of a network can be fine-tuned by adjusting the behaviours of the nodes in their mode decisions.
Original languageEnglish
Title of host publicationDynamic Ad Hoc Networks
PublisherInstitution of Engineering and Technology
Pages413-432
Number of pages20
ISBN (Electronic)9781849196482
ISBN (Print)9781849196475
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • Ad hoc networks
  • Battery powered device
  • Bioinspired scheduling scheme
  • Mode decision
  • Object detection
  • On-off scheduling scheme
  • Redundant sensing coverage
  • Remote sensing system
  • Scheduling
  • Sensor placement
  • Target detection
  • Wireless ad hoc sensor network
  • Wireless sensor networks
  • Wireless sensor node deployment

ASJC Scopus subject areas

  • General Computer Science

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