K-coverage prediction optimization for non-uniform motion objects in wireless video sensor networks

DOI

10.2991/aest-16.2016.9How to use a DOI?

Keywords

wireless video sensor networks; non-uniform motion; K-coverage; prediction model.

Abstract

The existing wireless video sensor networks tracking algorithms have much higher performance requirements of the sensor node in networks. For solving this problem, we propose a new target trajectory prediction model for non-uniform motion, which takes all the possible locations of each target at next moment into consideration. Furthermore, we design a K-coverage dynamic optimization algorithm to gain benefit of distributed method based on the aforementioned mathematical model. The experimental results indicate that the proposed algorithm outperforms the existing algorithms.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yibo Jiang
AU  - Shanghao Sheng
AU  - Nianhua Wang
AU  - Jiadong Mei
PY  - 2016/11
DA  - 2016/11
TI  - K-coverage prediction optimization for non-uniform motion objects in wireless video sensor networks
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 73
EP  - 79
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.9
DO  - 10.2991/aest-16.2016.9
ID  - Jiang2016/11
ER  -