K-coverage prediction optimization for non-uniform motion objects in wireless video sensor networks
Yibo Jiang, Shanghao Sheng, Nianhua Wang, Jiadong Mei
Available Online November 2016.
- https://doi.org/10.2991/aest-16.2016.9How to use a DOI?
- wireless video sensor networks; non-uniform motion; K-coverage; prediction model.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/aest-16.2016.9 ID - Jiang2016/11 ER -