@inproceedings{bb4623178dbd4fde88f9456c7d3c54d0,
title = "Dynamic charging planning for indoor WRSN environment by using self-propelled vehicle",
abstract = "Wireless rechargeable sensor network is a promising method to solve lifetime problem of wireless sensor network. Different wireless rechargeable sensor network environments have own suitable planning way for the chargers. This work aims to plan the chargers in a large indoor environment. Considering that distances between the dispersed sensor nodes are long, we try to set the charger on the vehicle then adopt concept of simulated annealing algorithm to design a charging planning way for solving the travelling salesman problem. The results of this paper shows that in comparison with the static charger planning, the dynamic charging schedule guarantees that any sensors will not be dead as well as it is able to significantly reduce the cost to extent the network lifetime efficiently.",
keywords = "Meta-heuristic algorithm, Network planning, Wireless rechargeable sensor network",
author = "Chien, {Wei Che} and Cho, {Hsin Hung} and Lai, {Chin Feng} and Shih, {Timothy K.} and Chao, {Han Chieh}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 12th International Conference on Knowledge Management in Organizations, KMO 2017 ; Conference date: 21-08-2017 Through 24-08-2017",
year = "2017",
doi = "10.1007/978-3-319-62698-7_45",
language = "???core.languages.en_GB???",
isbn = "9783319626970",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "547--559",
editor = "Wei Lu and I-Hsien Ting and Lorna Uden",
booktitle = "Knowledge Management in Organizations - 12th International Conference, KMO 2017, Proceedings",
}