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Deployment algorithms and in-door experimental vehicles for studying mobile wireless sensor networks

  • M. F. Mysorewala*
  • , D. O. Popa
  • , V. Giordano
  • , F. L. Lewis
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Wireless communication has been traditionally used in robotics to transmit sensory and telemetry information between a robot and a base station. Because research in mobile robotics has typically focused on navigation, mapping and sensor fusion, network oriented problems such as communication bandwidth optimization, coverage and fault tolerance are not usually considered in this context. The motivation behind this research is formulating and solving combined robot navigation issues (such as obstacle avoidance, environment mapping and coverage) with sensor network issues (such as congestion control, routing and node energy minimization). In this paper we present several types of algorithms for mobile wireless sensor nodes (MWSN) as well as experimental results with a fleet of mobile robots and sensors in our lab. The algorithms include adaptive sampling (AS) for distributed field estimation, potential fields (PF) for communication bandwidth optimization, and a discrete event controller (DEC) for mission planning.

Original languageEnglish
Title of host publicationProceedings - Seventh ACIS International Conference on Software Eng., Artific. Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2006, including Second ACIS Int. Workshop on SAWN 2006
Pages290-295
Number of pages6
DOIs
StatePublished - 2006
Externally publishedYes

Publication series

NameProc. - Seventh ACIS Int. Conf. on Software Eng., Artific. Intelligence, Netw., and Parallel/Distributed Comput., SNPD 2006, including Second ACIS Int. Worshop on SAWN 2006
Volume2006

Keywords

  • Adaptive sampling
  • Discrete event controller
  • Potential fields
  • Sensor networks

ASJC Scopus subject areas

  • General Engineering

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