Mobility status as dynamic context for behaviour optimisation in self-organised networks
Anthony, Richard and Ghassemian, Mona (2009) Mobility status as dynamic context for behaviour optimisation in self-organised networks. In: 2009 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2009). IEEE Computer Society, Piscataway, NJ, USA, pp. 878-885. ISBN 978-1-4244-3569-2 (print) 978-0-7695-3575-3Full text not available from this repository.
A novel technique by which wireless devices such as sensor nodes can deduce their own mobility status,based on analysis of patterns in their local neighbourhood, is described.For many systems in which a neighbour table is maintained through regular status messages or other interaction, the technique incurs no additional communication overhead. The technique does not require that nodes have additional information such as absolute or relative locations, or neighbourhood node density.The work considers systems with heterogeneous time-variant mobility models, in which a subset of nodes follows a random walk mobility model, another subset follows a random waypoint mobility model (i.e.have intermittent movement), some nodes have group mobility and there is a static subset.We simulate these heterogeneous mobility systems and evaluate the performance of the Self-Detection of Mobility Status algorithm (SDMS) against a number of metrics and in a wide variety of system configurations.
|Item Type:||Book Section|
|Additional Information:||This paper forms part of the published proceedings from the 2009 International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009, held 16-19 March 2009, Fukuoka, Japan.|
|Uncontrolled Keywords:||self-organisation, mobility detection, wireless sensor networks, context-awareness|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|School / Department / Research Groups:||School of Computing & Mathematical Sciences|
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
|Last Modified:||17 Oct 2012 12:25|
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