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Using autonomous mobile agents for efficient data collection in sensor networks

Black, Timothy, Mak, Vicky, Pathirana, Pubudu and Nahavandi, Saeid 2006, Using autonomous mobile agents for efficient data collection in sensor networks, in Intelligent Automation and Soft Computing Volume 5: Proceedings of the World Automation Congress 2006 (WAC 2006), IEEE, Piscataway, N.J., pp. 1-6.

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Title Using autonomous mobile agents for efficient data collection in sensor networks
Author(s) Black, Timothy
Mak, VickyORCID iD for Mak, Vicky orcid.org/0000-0002-9306-5780
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name World Automation Congress ( 2006 : Budapest, Hungary)
Conference location Budapest, Hungary
Conference dates July 24-26 2006
Title of proceedings Intelligent Automation and Soft Computing Volume 5: Proceedings of the World Automation Congress 2006 (WAC 2006)
Editor(s) [Unknown]
Publication date 2006
Conference series World Automation Congress
Start page 1
End page 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) sensor networks
mobility
local search
ATSPTW
fuzzy logic
robotics
Summary Sensor networks are emerging as the new frontier in sensing technology, however there are still issues that need to be addressed. Two such issues are data collection and energy conservation. We consider a mobile robot, or a mobile agent, traveling the network collecting information from the sensors themselves before their onboard memory storage buffers are full. A novel algorithm is presented that is an adaptation of a local search algorithm for a special case of the Asymmetric Traveling Salesman Problem with Time-windows (ATSPTW) for solving the dynamic scheduling problem of what nodes are to be visited so that the information collected is not lost. Our algorithms are given and compared to other work.
Notes ©2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 1889335320
9781889335322
Language eng
Field of Research 090699 Electrical and Electronic Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006, World Automation Congress
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30006120

Document type: Conference Paper
Collections: School of Engineering and Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.