Mathematical analysis of optimal tracking interval management for power efficient target tracking wireless sensor networks, Article Iranian Journal of Electrical and Electronic Engineering ; Volume 8, Issue 3 , 2012 , Pages 195-205 ; 17352827 (ISSN) ; Abolhassani, B ; Abdizadeh, M ; Sharif University of Technology
2012
Abstract
We study the problem of power efficient tracking interval management for distributed target tracking wireless sensor networks (WSNs). We first analyze the performance of a distributed target tracking network with one moving object, using a quantitative mathematical analysis. We show that previously proposed algorithms are efficient only for constant average velocity objects; however, they do not ensure an optimal performance for moving objects with acceleration. Towards an optimal performance, first, we derive a closed-form mathematical expression for the estimation of the minimal achievable power consumption by an optimal adaptive tracking interval management algorithm. This can be used as...
Cataloging briefMathematical analysis of optimal tracking interval management for power efficient target tracking wireless sensor networks, Article Iranian Journal of Electrical and Electronic Engineering ; Volume 8, Issue 3 , 2012 , Pages 195-205 ; 17352827 (ISSN) ; Abolhassani, B ; Abdizadeh, M ; Sharif University of Technology
2012
Abstract
We study the problem of power efficient tracking interval management for distributed target tracking wireless sensor networks (WSNs). We first analyze the performance of a distributed target tracking network with one moving object, using a quantitative mathematical analysis. We show that previously proposed algorithms are efficient only for constant average velocity objects; however, they do not ensure an optimal performance for moving objects with acceleration. Towards an optimal performance, first, we derive a closed-form mathematical expression for the estimation of the minimal achievable power consumption by an optimal adaptive tracking interval management algorithm. This can be used as...
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