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Improving the Performance of Asynchronous Communication in Long-Distance Delay-Sensitive Networks through the Development of Context-Aware Architectures

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

Peoples, Cathryn, Parr, Gerard, Bryan, Scotney, Adrian, Moore and Dini, Petre (2006) Improving the Performance of Asynchronous Communication in Long-Distance Delay-Sensitive Networks through the Development of Context-Aware Architectures. In: International Conference on Autonomic and Autonomous Systems, 2006 (ICAS 2006) . IEEE. 8 pp. [Conference contribution]

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DOI: 10.1109/ICAS.2006.27

Abstract

Context-awareness is inherent in anticipated interplanetary missions. Swarm technologies [11] use context-awareness in short-haul networks between components, and long-distance networks allow communication with Earth. However, the propagation delays limit real-time communications, deep space being an environment in which the speed of light becomes a restriction. Therefore, the development of a protocol stack which is adaptive to application requirements and external influences will help to maximise communication synchronicity. As part of a first year doctorate research programme, this paper correlates current stack functionalities with interplanetary application requirements. A redesigned stack proposes to resolve this misalignment. Context-awareness is incorporated, enabling intelligent protocol selection using application layer knowledge and environmental information, with particular attention given to transport protocols. The paper concludes by considering transport protocol characteristics when deployed beside a context-aware layer, with the longterm aim being the development of a transport protocol suitable for deployment in the state-of-theart context-aware stack.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:21153
Deposited By:Dr Cathryn Peoples
Deposited On:05 Mar 2012 15:36
Last Modified:05 Mar 2012 15:36

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