Amoeba-like exploring for grouped mobile wireless sensor networks

Chang Wu Yu, Tung-Kuang Wu, Rei Heng Cheng, Chien Yeh Wang, Wen Ouyang

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

Abstract

Mobile wireless sensor networks may be applied to diverse areas, and have been receiving increasingly attentions. However, these studies do not seem to address the issue regarding how group of mobile sensor nodes move autonomously, explore and monitor area of interest without exploiting geographic information. Accordingly, this paper develops two amoeba-like algorithms, folding and elastic algorithms, to cope with the above mentioned problem. Folding algorithm operates by assigning some mobile sensor node stay in each intersection, so that it can guide and coordinate the movement of the whole group. Elastic algorithm selects a cluster head for commanding movement directions of the remaining nodes to collect necessary geographic information and determine the subsequent movements. Simulations are conducted to evaluate the two proposed algorithms.

Original languageEnglish
Title of host publicationProceedings - 2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-253
Number of pages6
ISBN (Electronic)9781479942664
DOIs
Publication statusPublished - 2014 Oct 3
Event2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014 - Ulaanbaatar, Mongolia
Duration: 2014 Jul 122014 Jul 14

Publication series

NameProceedings - 2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014

Other

Other2014 7th International Conference on Ubi-Media Computing and Workshops, U-MEDIA 2014
CountryMongolia
CityUlaanbaatar
Period14-07-1214-07-14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Software

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