Price-Based Channel Time Allocation in Wireless LANs
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Dynamic bandwidth management in single-hop ad hoc wireless networks
Mobile Networks and Applications
Optimal Resource Allocation in Wireless Ad Hoc Networks: A Price-Based Approach
IEEE Transactions on Mobile Computing
Wireless LANs: from WarChalking to open access networks
Mobile Networks and Applications - Special issue: Wireless mobile wireless applications and services on WLAN hotspots
Differential game model with coupling constraint for routing in ad hoc networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Price-based resource allocation in wireless ad hoc networks
IWQoS'03 Proceedings of the 11th international conference on Quality of service
To play or to control: a game-based control-theoretic approach to peer-to-peer incentive engineering
IWQoS'03 Proceedings of the 11th international conference on Quality of service
Inter-domain pricing: challenges and possible approaches
International Journal of Network Management
Engineering incentive schemes for ad hoc networks
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
A taxonomy of incentive patterns
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
Hi-index | 0.00 |
Traffic regulation in public and private wireless LANs face a number of significant challenges, particularly in commercial networks where there is a need for efficient regulation of bursty transactional applications, support for bandwidth reservation services while inhibiting bandwidth hogging by mobile devices, and incentivizing user cooperation. In this paper, we take a new approach to solving these problems by applying incentive engineering techniques to wireless access networks. We design two incentive-based allocation service classes: an instantaneous allocation (IA) class, which provides better throughput, and a stable allocation(SA) class, which provides better allocation stability. Our approach possesses a number of beneficial properties including minimizing the algorithmic and protocol overhead on mobile devices, Nash bargaining fairness for the IA service, and incentive compatibility for mobile users promoting the truthfully selection of service class and bandwidth declaration. We use analysis, simulation and experimental results from a wireless testbed to demonstrate theeffectiveness of wireless incentive engineering1.