A particle swarm model for swarm-based networked sensor systems

  • Authors:
  • B. Anthony Kadrovach;Gary B. Lamont

  • Affiliations:
  • Air Force Institute of Technology, Wright-Patterson AFB (Dayton), OH;Air Force Institute of Technology, Wright-Patterson AFB (Dayton), OH

  • Venue:
  • Proceedings of the 2002 ACM symposium on Applied computing
  • Year:
  • 2002

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Abstract

Swarm behavior as demonstrated by flocks of birds, schools of fish, and swarms of insects provide a useful method for implementing a distributed network of mobile sensor platforms. Such mobile sensor swarm systems are useful for various search or surveillance activities. Swarm behavior ensures safe separation between swarm members while enforcing a level of cohesion. These two properties, when considered in the context of sensors and wireless communications, provide for low redundancy coverage and a robust and reliable communications system. This paper examines particle swarm behavior through simulation with respect to such a sensor network. Analysis of swarm behavior for various parameter settings indicate a classification methodology. This provides a foundation for a proposed taxonomy.