Actor deployment strategies in WSANs

Nan Che, Zhijun Li, Shouxu Jiang

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

1 Scopus citations

Abstract

Traditional wireless sensor networks (WSNs) act mostly as data collection and aggregation networks and do not possess the capability of interaction with ambient environment. But lots of application scenarios need WSNs interacting with ambient environment, such as fire prevention and control, etc. According to most application scenarios, the response speed of actor nodes determines the effectiveness of WSANs applications. Thus, we utilize the moving capacity of actor nodes to relocate actor nodes during the network initialization, which can improve the real-time attribute of WSANs. The actors deployment problem in WSANs whether the amount of actors is redundant or not has been proved NP-Hard, but to the best of our knowledge, no effective distributed algorithms in previous research can solve the problem. Thus two actor deployment strategies are proposed to solve this problem approximately based on Voronoi diagram. Through simulation experiment, the results show that our distributed strategies are more effective than present deployment strategies in real-time performance.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
Pages150-153
Number of pages4
DOIs
StatePublished - Dec 28 2010
Event1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 - Harbin, China
Duration: Sep 17 2010Sep 19 2010

Publication series

NameProceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010

Other

Other1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010
CountryChina
CityHarbin
Period9/17/109/19/10

Keywords

  • Component
  • Deployment strategy
  • Real-time
  • Voronoi diagram
  • WSANs

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