RENDEZVOUS: towards fast event detecting in wireless sensor and actor networks

Mianxiong Dong, Kaoru Ota, He Li, Suguo Du, Haojin Zhu, Song Guo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

25 Citations (Scopus)

Abstract

Fast event detection is important in wireless sensor and actor networks (WSANs) since actors can perform appropriate actions which sensor nodes are not capable to do. While WSANs inherits the typical constrains of WSNs such as energy and computation limitations of sensor nodes. In this paper, we propose a fast event detecting algorithm named RENDEZVOUS to accelerate the actor’s event detecting process while keep the energy consumption of sensor nodes as minimum. When design RENDEZVOUS, we first study the mobility control of a actor to help the actor move around close to a event by using Reinforcement Learning techniques with collected sensory data. We then design a scheme to search nearby actors from the event side inspired by a searching behavior of desert ants. By both perform search actions from sensor side and actor side, the proposed algorithm can achieve fast event detecting with neglect-able additional energy cost on sensors side. Extensive simulation results demonstrate the efficiency of RENDEZVOUS.
Original languageEnglish
Pages (from-to)995-1010
Number of pages16
JournalComputing
Volume96
Issue number10
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes

Keywords

  • Energy efficiency
  • Event detection
  • Mobility control
  • Wireless sensor and actor networks

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Numerical Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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