DocumentCode
3089603
Title
HybridExploration: A distributed approach to terrain exploration using mobile and fixed sensor nodes
Author
Ferranti, Ettore ; Trigoni, Niki ; Levene, Mark
Author_Institution
Comput. Lab., Univ. of Oxford, Oxford
fYear
2008
fDate
22-26 Sept. 2008
Firstpage
1280
Lastpage
1286
Abstract
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.
Keywords
distributed sensors; mobile robots; multi-robot systems; HybridExploration; agent- to-tag communication; autonomous mobile nodes; fixed sensor nodes; mobile sensor nodes; tag-to-tag communication; terrain exploration; Buildings; Government; Humans; Navigation; Protocols; Robot sensing systems; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location
Nice
Print_ISBN
978-1-4244-2057-5
Type
conf
DOI
10.1109/IROS.2008.4650699
Filename
4650699
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