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A Pheromone Based Mobile Agent Migration Strategy for Servicing Networked Robots

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 87)

Abstract

In this paper we describe how mobile agents carrying a resource as a payload can prove to be useful in searching networked robots that require their services. While the agents migrate within the network in a conscientious manner, robots requiring their services diffuse pheromones to attract and guide them through the shortest path. The bidirectional and parallel search on part of the robot and the agent culminates in a faster convergence. The paper also compares the results derived by using this method with those obtained using two other algorithms. The results and discussions clearly indicate that this pheromone based algorithm is better suited for both static and dynamic networked robotics scenarios.

Keywords

  • Multiagent System
  • Mobile Agent
  • Resource Discovery
  • Migration Strategy
  • Pheromone Trail

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-642-32615-8_52
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Godfrey, W.W., Nair, S.B. (2012). A Pheromone Based Mobile Agent Migration Strategy for Servicing Networked Robots. In: Suzuki, J., Nakano, T. (eds) Bio-Inspired Models of Network, Information, and Computing Systems. BIONETICS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32615-8_52

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  • DOI: https://doi.org/10.1007/978-3-642-32615-8_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32614-1

  • Online ISBN: 978-3-642-32615-8

  • eBook Packages: Computer ScienceComputer Science (R0)