@inproceedings{b5daaa6c617b483fa9673d2057620557,
title = "An efficient sensor scheduling for target tracking",
abstract = "In this paper we study an efficiently and simple algorithm for mobile sensor management in moving target tracking problem. The novel method leads to reduce comparison number of sensor sequences and executive time for unconstrained optimization. It results in reduce memory utilization and computational cost as well. The Kalman Filter technique is applied to predict posteriori state of target. In addition, the propagation environment is additive white Gaussian noise (AWGN) channel. Numerical example reveals this algorithm can obtain the optimal scheduling by an uncomplicated implementation.",
author = "Le, \{Hoang Hiep\} and Chen, \{Joy Iong Zong\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Electronics and Communication Systems, ICECS 2014 ; Conference date: 13-02-2014 Through 14-02-2014",
year = "2014",
doi = "10.1109/ECS.2014.6892742",
language = "English",
series = "2014 International Conference on Electronics and Communication Systems, ICECS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 International Conference on Electronics and Communication Systems, ICECS 2014",
address = "United States",
}