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Practical handover optimization solution using autonomic agent-based piloting system

With the multiplication of wireless communication networks and the increasing capabilities of the user devices equipped with multiple technology interfaces, being always connected tends to be a reality in the near future. In this article we propose to pilot the current weak handover algorithms using an autonomic agent-based piloting system. We specifically focus on the pre-execution handover process. The proposed system main contributions are to recover the useful information and compute it to obtain useful knowledge. This latter will be used for feeding a sophisticated handover decision algorithm in order to pick the most appropriate access network. We have developed a real testbed to evaluate and validate our solution unlike most proposed works analyzed only by simulations and thus avoid practical problems encountered in real environment. Above this real platform we performed an experimentation in 802.11 wireless networks that shows promising results.