A Multi-modality framework for energy efficient tracking in large scale wireless sensor networks

Lizhi Yang, Chuan Feng, Jerzy W Rozenblit, Jianfeng Peng

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

14 Citations (Scopus)

Abstract

This paper considers the problem of tracking real-world objects in a large scale area using distributed wireless sensor networks. Due to the limited power supply of wireless sensors, prediction based tracking mechanisms have been commonly used to conserve the energy consumption of the tracking algorithm. On the other hand, in order to preserve the quality of tracking (QoS), appropriate recovery approaches have to be incorporated into the tracking algorithm since the prediction may fail due to network topology changes, blind areas, the uncertainty and unpredictability of real-world objects' motion, etc. In this paper, a multi-modality tracking framework is proposed and an n-step prediction tracking algorithm is evaluated in the framework. The proposed framework is suitable for the tracking system in which sensors are randomly deployed. This paper exhibits how the network of multi-modality wireless sensors can reduce the power consumption of the tracking and preserve the quality of tracking as well.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06
Pages916-921
Number of pages6
StatePublished - 2006
Event2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06 - Ft. Lauderdale, FL, United States
Duration: Apr 23 2006Apr 25 2006

Other

Other2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06
CountryUnited States
CityFt. Lauderdale, FL
Period4/23/064/25/06

Fingerprint

Wireless sensor networks
Sensors
Quality of service
Electric power utilization
Energy utilization
Topology
Recovery
Uncertainty

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Yang, L., Feng, C., Rozenblit, J. W., & Peng, J. (2006). A Multi-modality framework for energy efficient tracking in large scale wireless sensor networks. In Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06 (pp. 916-921). [1673270]

A Multi-modality framework for energy efficient tracking in large scale wireless sensor networks. / Yang, Lizhi; Feng, Chuan; Rozenblit, Jerzy W; Peng, Jianfeng.

Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06. 2006. p. 916-921 1673270.

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

Yang, L, Feng, C, Rozenblit, JW & Peng, J 2006, A Multi-modality framework for energy efficient tracking in large scale wireless sensor networks. in Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06., 1673270, pp. 916-921, 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06, Ft. Lauderdale, FL, United States, 4/23/06.
Yang L, Feng C, Rozenblit JW, Peng J. A Multi-modality framework for energy efficient tracking in large scale wireless sensor networks. In Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06. 2006. p. 916-921. 1673270
Yang, Lizhi ; Feng, Chuan ; Rozenblit, Jerzy W ; Peng, Jianfeng. / A Multi-modality framework for energy efficient tracking in large scale wireless sensor networks. Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06. 2006. pp. 916-921
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