Differentiated surveillance for sensor networks

Ting Yan, Tian He, John A. Stankovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

346 Scopus citations

Abstract

For many sensor network applications such as military surveillance, it is necessary to provide full sensing coverage to a security-sensitive area while at the same time minimizing energy consumption and extending system lifetime by leveraging the redundant deployment of sensor nodes. It is also preferable for the sensor network to provide differentiated surveillance service for various target areas with different degrees of security requirements. In this paper, we propose a differentiated surveillance service for sensor networks based on an adaptable energy-efficient sensing coverage protocol. In the protocol, each node is able to dynamically decide a schedule for itself to guarantee a certain degree of coverage (DOC) with average energy consumption inversely proportional to the node density. Several optimizations and extensions are proposed to provide even better performance. Simulation shows that our protocol accomplishes differentiated surveillance with low energy consumption. It outperforms other state-of-the-art schemes by as much as 50% reduction in energy consumption and as much as 130% increase in the half-life of the network.

Original languageEnglish (US)
Title of host publicationSenSys'03
Subtitle of host publicationProceedings of the First International Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery (ACM)
Pages51-62
Number of pages12
ISBN (Print)1581137079, 9781581137071
DOIs
StatePublished - 2003
EventSenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems - Los Angeles, CA, United States
Duration: Nov 5 2003Nov 7 2003

Publication series

NameSenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems

Other

OtherSenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems
Country/TerritoryUnited States
CityLos Angeles, CA
Period11/5/0311/7/03

Keywords

  • Differentiated Service
  • Energy Conservation
  • Sensing Coverage
  • Sensor Networks

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