Prediction-based object tracking algorithm with load balance for wireless sensor networks

Zhen Guo, Mengchu Zhou

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

6 Scopus citations

Abstract

Power efficiency is one of the major concerns of wireless sensor networks applications. Most existing power efficient routing algorithms for wireless sensor networks concentrates on finding efficient ways to forward data. Yet not much work has been done on collecting local data, tracking the detected objects, predicting the future motion, and then generating the data report. This paper presents the effect of object tracking prediction on power saving for wireless sensor networks. An object tracking prediction method, i.e., Prediction-based Object tracking Algorithm with Load balance (POTL) has been proposed to achieve significant power savings by reducing unnecessary transmission. Performance analysis, based on numerical analysis for one dimensional case, demonstrates that our scheme can dramatically reduce the power consumption and improve the lifetime of the overall network system.

Original languageEnglish (US)
Title of host publication2005 IEEE Networking, Sensing and Control, ICNSC2005 - Proceedings
Pages756-760
Number of pages5
Volume2005
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE Networking, Sensing and Control, ICNSC2005 - Tucson, AZ, United States
Duration: Mar 19 2005Mar 22 2005

Other

Other2005 IEEE Networking, Sensing and Control, ICNSC2005
Country/TerritoryUnited States
CityTucson, AZ
Period3/19/053/22/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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