A Service-Oriented Negotiation Model between Autonomous Agents
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
Resource-Aware Routing Algorithms for Multi-hop Cellular Networks
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
IEEE Transactions on Mobile Computing
Adaptive online bandwidth allocation and reservation for QoS sensitive multimedia networks
Computer Communications
A cooperative game theory based coalitional agent negotiation model in network service
CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
Bargaining Strategies for Networked Multimedia Resource Management
IEEE Transactions on Signal Processing - Part I
IEEE Communications Magazine
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Multi-hop cellular network (MCN) can preserve the advantages of traditional single-hop cellular networks and ad hoc relaying networks. In multi-hop network, efficient bandwidth management plays an important role in determining network performance. In this paper, a new bandwidth management scheme is proposed for MCNs. By integrating the Nash and Kalai---Smorodinsky bargaining models, the proposed scheme adaptively controls the wireless bandwidth to maximize network efficiency. In the proposed Nash and Kalai---Smorodinsky bargaining models, bargaining powers are decided according to the real-time negotiation process. It is a powerful method for resolving conflicts and enables the system to fairly and effectively control the bandwidth management problem. With a simulation study, it is demonstrated that the proposed scheme approximates an optimized solution under widely diverse traffic load intensities.