NDLI: Collaborative movement of rescue robots for reliable and effective networking in disaster area

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10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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Collaborative movement of rescue robots for reliable and effective networking in disaster area

Content Provider	IEEE Xplore Digital Library
Author	Sugiyama, H. Tsujioka, T. Murata, M.
Copyright Year	2005
Description	Author affiliation: Graduate Sch. of Eng., Osaka City Univ. (Sugiyama, H.; Tsujioka, T.)
Abstract	We investigated a collaboration scheme for rescue robots for reliable and effective operation of rescue systems using robots. The investigation focused on the collaborative movement of robots to maintain their wireless network. We propose classifying the robots into search robots and relay robots and using a behavior algorithm for their collaborative movement. According to the algorithm, search robots explore the disaster area and search for victims, whereas relay robots act as relay terminals within the network. Each robot classifies itself autonomously and repeatedly as the system operation progresses. We evaluated the performance of the victim detection system (a rescue system introduced in our previous paper) based on the proposed scheme by computer simulation. Its performance was improved compared with the case where every robot walked randomly in the disaster area and no classification occurred
Sponsorship	IEEE Comput. Soc. IEEE, Create-Net the Int. Commun. Sci. and Technol. Assoc. ICST
File Size	5837901
File Format	PDF
ISBN	1424400309
DOI	10.1109/COLCOM.2005.1651217
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Wireless networks Collaboration Maintenance engineering Robot sensing systems Reliability engineering Ad hoc networks Mobile robots Relays Orbital robotics
Content Type	Text
Resource Type	Article

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