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. Attached Files Name Description MIMEType Size Downloads nahavandi-usingautonomous-2006.pdf Published version application/pdf 4.89MB 191 Title Using autonomous mobile agents for efficient data collection in sensor networks Author(s) Black, Timothy Mak, Vicky orcid.org/0000-0002-9306-5780 Pathirana, Pubudu orcid.org/0000-0001-8014-7798 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 Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Mon, 01 Dec 2008, 08:37:39 EST Fri, 26 Mar 2010, 13:42:51 EST Mon, 30 Aug 2010, 14:34:42 EST Fri, 16 Mar 2012, 16:03:18 EST Mon, 13 Jan 2014, 10:24:08 EST Wed, 21 Oct 2015, 13:14:15 EST Tue, 05 Dec 2017, 06:18:07 EST Fri, 07 Sep 2018, 13:36:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 784 Abstract Views, 191 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:58:46 EST

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