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A Neural Network–Based Connectivity Management for Mobile Computing Environment

Kumar, Vijay BP and Venkataram, P (2003) A Neural Network–Based Connectivity Management for Mobile Computing Environment. In: International Journal of Wireless Information Networks, 10 (2). pp. 63-71.

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The mobile computing environment experiences wireless problems and suffers from limited bandwidth, which leads to frequent disconnections. This has posed a challenge in maintaining user-to-user connectivity in the mobile computing environment. In this paper, we propose a neural network (NN) based connectivity management for mobile computing environment to maintain the mobile user-to-user connectivity throughout the transaction. Here the connectivity management maintains the status information of mobile hosts at the base station to handle frequent disconnection of mobile hosts (MHs), which occur because of hand-offs and interruptions. The disconnection of an MH because of wireless problems is called interruption, and the disconnection due to MH crossing the cell boundary is called hand-off. The neural networks are trained with respect to the status information to provide an intelligent decision for the connectivity management. The simulation results demonstrate that the proposed technique performs well in terms of percentage acceptance of disconnections and resource utilization (bandwidth and buffer) for the volatile mobile computing environment. It is also observed that the intelligent decision by neural network has improved the performance of the system

Item Type: Journal Article
Publication: International Journal of Wireless Information Networks
Publisher: Springer
Additional Information: Copyright of this article belongs to Springer
Keywords: Connectivity management; Status information; Neural network; Back-propagation algorithm
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Aug 2008
Last Modified: 19 Sep 2010 04:34
URI: http://eprints.iisc.ac.in/id/eprint/9687

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