Dual prediction-based reporting for object tracking sensor networks

Yingqi Xu, Julian Winter, Wang-chien Lee

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

98 Citations (Scopus)

Abstract

As one of the wireless sensor network killer applications, object tracking sensor networks (OTSNs) disclose many opportunities for energy-aware system design and implementations. In this paper, we investigate prediction-based approaches for performing energy efficient reporting in OTSNs. We propose a dual prediction-based reporting mechanism (called DPR), in which both sensor nodes and the base station predict the future movements of the mobile objects. Transmissions of sensor readings are avoided as long as the predictions are consistent with the real object movements. DPR achieves energy efficiency by intelligently trading off multi-hop/long-range transmissions of sensor readings between sensor nodes and the base station with one-hop/short-range communications of object movement history among neighbor sensor nodes. We explore the impact of several system parameters and moving behavior of tracked objects on DPR performance, and also study two major components of DPR: prediction models and location models through simulations. Our experimental results show that DPR is able to achieve considerable energy savings under various conditions and out-performs existing reporting mechanisms.

Original languageEnglish (US)
Title of host publicationProceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationNetworking and Services
Pages154-163
Number of pages10
DOIs
StatePublished - Dec 1 2004
EventProceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services - Boston, MA, United States
Duration: Aug 22 2004Aug 26 2004

Other

OtherProceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
CountryUnited States
CityBoston, MA
Period8/22/048/26/04

Fingerprint

Sensor networks
Sensor nodes
Base stations
Sensors
Energy efficiency
Wireless sensor networks
Energy conservation
Systems analysis
Communication

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Xu, Y., Winter, J., & Lee, W. (2004). Dual prediction-based reporting for object tracking sensor networks. In Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (pp. 154-163) https://doi.org/10.1016/B0-12-227620-5/00034-3
Xu, Yingqi ; Winter, Julian ; Lee, Wang-chien. / Dual prediction-based reporting for object tracking sensor networks. Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. 2004. pp. 154-163
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Xu, Y, Winter, J & Lee, W 2004, Dual prediction-based reporting for object tracking sensor networks. in Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. pp. 154-163, Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, Boston, MA, United States, 8/22/04. https://doi.org/10.1016/B0-12-227620-5/00034-3

Dual prediction-based reporting for object tracking sensor networks. / Xu, Yingqi; Winter, Julian; Lee, Wang-chien.

Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. 2004. p. 154-163.

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

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Xu Y, Winter J, Lee W. Dual prediction-based reporting for object tracking sensor networks. In Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. 2004. p. 154-163 https://doi.org/10.1016/B0-12-227620-5/00034-3