Achieving Collaborative Service Provisioning for Mobile Network Users: the CollDown Example (original) (raw)
This paper proposes a distributed model of service provisioning process for mobile network users who share a common interest in a service content offered in the network. The model is based on an idea that such users could individually acquire disjunctive parts of service content from a remote server (via a wide area mobile network), and then subsequently exchange them among themselves in an ad hoc local network in a peer-to-peer fashion, thus allowing each user to reassemble the entire content for her/his own use. The benefits of this approach include lowering the load on the “expensive” link to the telco’s network and saving the energy for wide-area communication on users’ mobile devices. The key questions to solve include recognizing the “common interest” of users and achieving their collaboration as described above. As an example, we show a service in which mobile users form an implicit social network and collaborate while downloading a selected multimedia content from the server under the control of the telco. A proof-of-concept implementation, named Collaborative Downloading (CollDown for short), is evaluated by using real mobile phones in a real network.
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In this article we propose a novel approach, enabled by software agents, in mobile service provisioning process: energy-efficient collaborative downloading. The main idea is that mobile users, represented with their agents and corresponding profiles, interested in the same content download some parts directly from a service server and others afterwards locally exchange among themselves to reduce overall energy consumption. Collaborative downloading is formed as an auction where mobile users’ agents compete to determine which parts of a requested content to download directly from the service server and which to exchange with other users. Our main motivation for conceiving collaborative downloading was to lower the overall energy consumption of users’ mobile devices. Simulation results demonstrate that the proposed innovation can save up to 75% of the energy of mobile devices’ batteries.
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