Decentralized mobility models for data collection in wireless sensor networks Hanoun, Samer, Creighton, Douglas and Nahavandi, Saeid 2008, Decentralized mobility models for data collection in wireless sensor networks, in ICRA 2008 : IEEE International Conference on Robotics and Automation, IEEE, Piscataway, N.J., pp. 1030-1035, doi: 10.1109/ROBOT.2008.4543340. Attached Files Name Description MIMEType Size Downloads nahavandi-decentralizedmobility-2008.pdf Published version application/pdf 294.41KB 333 Title Decentralized mobility models for data collection in wireless sensor networks Author(s) Hanoun, Samer orcid.org/0000-0002-8697-1515 Creighton, Douglas orcid.org/0000-0002-9217-1231 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name IEEE International Conference on Robotics and Automation (2008 : Pasadena, Calif.) Conference location Pasadena, Calif. Conference dates 19-23 May 2008 Title of proceedings ICRA 2008 : IEEE International Conference on Robotics and Automation Editor(s) [Unknown] Publication date 2008 Conference series International Conference on Robotics and Automation Start page 1030 End page 1035 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Summary Controlled mobility in wireless sensor networks provides many benefits towards enhancing the network performance and prolonging its lifetime. Mobile elements, acting as mechanical data carriers, traverse the network collecting data using single-hop communication, instead of the more energy demanding multi-hop routing to the sink. Scaling up from single to multiple mobiles is based more on the mobility models and the coordination methodology rather than increasing the number of mobile elements in the network. This work addresses the problem of designing and coordinating decentralized mobile elements for scheduling data collection in wireless sensor networks, while preserving some performance measures, such as latency and amount of data collected. We propose two mobility models governing the behaviour of the mobile element, where the incoming data collection requests are scheduled to service according to bidding strategies to determine the winner element. Simulations are run to measure the performance of the proposed mobility models subject to the network size and the number of mobile elements. Notes ©2008 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 9781424416479 Language eng DOI 10.1109/ROBOT.2008.4543340 Field of Research 099999 Engineering not elsewhere classified HERDC Research category E1 Full written paper - refereed Copyright notice ©2008, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30018206 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment 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 Fri, 14 Aug 2009, 14:06:00 EST Fri, 11 Dec 2009, 07:38:05 EST Fri, 11 Dec 2009, 07:38:44 EST Mon, 30 Aug 2010, 16:18:29 EST Mon, 30 Aug 2010, 16:19:44 EST Tue, 07 Sep 2010, 15:10:00 EST Fri, 16 Mar 2012, 17:04:40 EST Thu, 15 May 2014, 09:55:19 EST Wed, 02 Jul 2014, 14:55:40 EST Tue, 06 Sep 2016, 12:56:19 EST Tue, 05 Dec 2017, 06:32:07 EST Fri, 07 Sep 2018, 14:20:37 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 1191 Abstract Views, 362 File Downloads  -  Detailed Statistics Created: Fri, 14 Aug 2009, 14:06:00 EST

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.