Dynamic charging planning for indoor WRSN environment by using self-propelled vehicle

Wei Che Chien, Hsin Hung Cho, Chin Feng Lai, Timothy K. Shih, Han Chieh Chao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationKnowledge Management in Organizations - 12th International Conference, KMO 2017, Proceedings
EditorsWei Lu, I-Hsien Ting, Lorna Uden
PublisherSpringer Verlag
Pages547-559
Number of pages13
ISBN (Print)9783319626970
DOIs
Publication statusPublished - 2017 Jan 1
Event12th International Conference on Knowledge Management in Organizations, KMO 2017 - Beijing, China
Duration: 2017 Aug 212017 Aug 24

Publication series

NameCommunications in Computer and Information Science
Volume731
ISSN (Print)1865-0929

Other

Other12th International Conference on Knowledge Management in Organizations, KMO 2017
CountryChina
CityBeijing
Period17-08-2117-08-24

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Chien, W. C., Cho, H. H., Lai, C. F., Shih, T. K., & Chao, H. C. (2017). Dynamic charging planning for indoor WRSN environment by using self-propelled vehicle. In W. Lu, I-H. Ting, & L. Uden (Eds.), Knowledge Management in Organizations - 12th International Conference, KMO 2017, Proceedings (pp. 547-559). (Communications in Computer and Information Science; Vol. 731). Springer Verlag. https://doi.org/10.1007/978-3-319-62698-7_45