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Localised Transmission Power Adjustment for Relative Connectivity Awareness in Wireless Ad-hoc & Sensor Networks

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Panousopoulou, Athanasia, Sterritt, Roy and Tzes, Anthony (2012) Localised Transmission Power Adjustment for Relative Connectivity Awareness in Wireless Ad-hoc & Sensor Networks. In: 2012 American Control Conference (ACC), Montréal, Canada. IEEE Control Society. 6 pp. [Conference contribution]

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Abstract

Wireless Ad-hoc and Sensor Networks are thecornerstone of decentralised control and optimisation techniquesin numerous sensor-rich application areas. Triggeredby the necessity of autonomous operation within constantlychanging environments, Wireless Ad-hoc and Sensor Networksare characterised by dynamic topologies, regardless the mobilityattributes of their operational nodes. As such, the relativeawareness that each node can obtain of the entire networkdraws the roadmap of viable reconfiguration mechanisms, suchas the establishment of bidirectional connectivity. The issuesaddressed in this paper are related to the bidirectional connectivityconditions over Wireless Ad-hoc and Sensor Networks.Based solely on the relative awareness that each node has ofthe entire network, sufficient end-to-end connectivity conditionsare herein extracted. These conditions, exploiting the notionof relative Delaunay neighbourhoods, formulate the basis of atransmission power adjustment scheme. Without any additionalnetwork overhead, the resulting Relative Delaunay ConnectivityAlgorithm is herein proven to yield an efficient solution to theconnectivity issues. Extensive simulation results are offered toevaluate the performance of the network, resulting from theproposed transmission range adjustment, whilst highlightingthe benefits of the Relative Delaunay Connectivity Algorithm.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:21550
Deposited By:Mr Roy Sterritt
Deposited On:31 Aug 2012 11:57
Last Modified:31 Aug 2012 11:57

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