Methods for task allocation via agent coalition formation
Artificial Intelligence
Bandwidth allocation in wireless networks with guaranteed packet-loss performance
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
The Advantages of Compromising in Coalition Formation with Incomplete Information
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Bayesian Reinforcement Learning for Coalition Formation under Uncertainty
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multimedia over IP and Wireless Networks: Compression, Networking, and Systems
Multimedia over IP and Wireless Networks: Compression, Networking, and Systems
Elections in a Distributed Computing System
IEEE Transactions on Computers
Bargaining Strategies for Networked Multimedia Resource Management
IEEE Transactions on Signal Processing - Part I
IEEE Journal on Selected Areas in Communications
Quality-based resource brokerage for autonomous networked multimedia applications
IEEE Transactions on Circuits and Systems for Video Technology
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Designing efficient and fair solutions for dividing the network resources in a distributed manner among self-interested multimedia users is recently becoming an important research topic because heterogeneous and high bandwidth multimedia applications (users), having different quality-of-service requirements, are sharing the same network. Suitable resource negotiation solutions need to explicitly consider the amount of information exchanged among the users and the computational complexity incurred by the users. In this paper, we propose decentralized solutions for resource negotiation, where multiple autonomous users self-organize into a coalition which shares the same network resources and negotiate the division of these resources by exchanging information about their requirements. We then discuss various resource sharing strategies that the users can deploy based on their exchanged information. Several of these strategies are designed to explicitly consider the utility (i.e., video quality) impact of multimedia applications. In order to quantify the utility benefit derived by exchanging different information, we define a new metric, which we refer to as the value of information. We quantify through simulations the improvements that can be achieved when various information is exchanged between users, and discuss the required complexity at the user side involved in implementing the various resource negotiation strategies.