Mobile agents
Software agents
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Co-operative Downloading in Vehicular Ad-Hoc Wireless Networks
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
Agent-Based Provisioning of Group-Oriented Non-linear Telecommunication Services
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
In search of energy-efficient mobile networking
IEEE Communications Magazine
Telco 2.0: a new role and business model
IEEE Communications Magazine
Telco agent: enabler of paradigm shift towards customer-managed relationship
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Group-oriented services: a shift towards consumer-managed relationships in the telecom industry
Transactions on computational collective intelligence II
An agent-based platform for ad-hoc social networking
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Engineering Applications of Artificial Intelligence
Proceedings of the 13th International Conference on Electronic Commerce
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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.