Quality-of-context driven autonomicity
Breza, Michael, Anthony, Richard and McCann, Julie (2007) Quality-of-context driven autonomicity. In: Proceedings of the 2nd International Workshop on Engineering Emergence in Decentralised Autonomic Systems EEDAS 2007. CMS Press, University of Greenwich, pp. 42-51. ISBN 9781904521433
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Abstract
Optimisation in wireless sensor networks is necessary
due to the resource constraints of individual devices,
bandwidth limits of the communication channel,
relatively high probably of sensor failure, and the requirement
constraints of the deployed applications in
potently highly volatile environments.
This paper presents BioANS, a protocol designed to
optimise a wireless sensor network for resource efficiency
as well as to meet a requirement common to a
whole class of WSN applications - namely that the sensor
nodes are dynamically selected on some qualitative
basis, for example the quality by which they can provide
the required context information.
The design of BioANS has been inspired by the communication
mechanisms that have evolved in natural
systems. The protocol tolerates randomness in its environment,
including random message loss, and incorporates
a non-deterministic ’delayed-bids’ mechanism.
A simulation model is used to explore the protocol’s
performance in a wide range of WSN configurations.
Characteristics evaluated include tolerance to
sensor node density and message loss, communication
efficiency, and negotiation latency
| Item Type: | Book Section |
|---|---|
| Additional Information: | This paper forms part of the published proceedings from 2nd International Workshop on Engineering Emergence in Decentralised Autonomic Systems, EEDAS 2007, June 11th, 2007 |
| Uncontrolled Keywords: | wireless sensor networks, BioANS, randomness, delayed-bids, node density, message loss |
| 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 Systems Technology School of Computing & Mathematical Sciences > Computer & Computational Science Research Group |
| Related URLs: | |
| Last Modified: | 31 Mar 2011 18:20 |
| URI: | http://gala.gre.ac.uk/id/eprint/1083 |
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