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    HybridExploration: a distributed approach to terrain exploration using mobile and fixed sensor nodes

    Ferranti, E. and Trigoni, N. and Levene, Mark (2008) HybridExploration: a distributed approach to terrain exploration using mobile and fixed sensor nodes. In: UNSPECIFIED (ed.) 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE Computer Society, pp. 1280-1286. ISBN 9781424420575.

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    When an emergency occurs within a building, it may be initially safer to send autonomous mobile nodes, instead of human responders, to explore the area and identify hazards and victims. Exploring all the area in the minimum amount of time and reporting back interesting findings to the human personnel outside the building is an essential part of rescue operations. Our assumptions are that the area map is unknown, there is no existing network infrastructure, long-range wireless communication is unreliable and nodes are not location-aware. We take into account these limitations, and propose a novel algorithm, HybridExploration, that makes use of both mobile nodes (robots, called agents) and stationary nodes (inexpensive smart devices, called tags). As agents enter the emergency area, they sprinkle tags within the space to label the environment with states. By reading and updating the state of the local tags, agents are able to coordinate indirectly with each other, without relying on direct agent-to-agent communication. In addition, tags wirelessly exchange local information with nearby tags to further assist agents in their exploration task. Our simulation results show that the proposed algorithm, which exploits both tag-to-tag and agent-to-tag communication, outperforms previous algorithms that rely only on agent-to-tag communication.


    Item Type: Book Section
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Sarah Hall
    Date Deposited: 31 May 2013 09:42
    Last Modified: 09 Aug 2023 12:33


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