Achieving MAC layer fairness in wireless packet networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Understanding TCP Vegas: a duality model
Journal of the ACM (JACM)
A Class of End-to-End Congestion Control Algorithms for the Internet
ICNP '98 Proceedings of the Sixth International Conference on Network Protocols
Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Wireless Communications
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Optimal Resource Allocation in Wireless Ad Hoc Networks: A Price-Based Approach
IEEE Transactions on Mobile Computing
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
The capacity of wireless networks
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
A non-cooperative game approach for power-aware MAC in ad hoc wireless networks
Computer Communications
Optimal Congestion and Power Control Providing SINR Guarantee and Energy Saving for Ad Hoc Networks
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
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This paper presents a new algorithm for jointly optimal control of session rate, link attempt rate, and link power in contention based MultiHop Wireless Networks. Formulating the problem in the framework of nonlinear optimization, we derive the required updates at end points and links to reach the optimal operating point. The proposed algorithm is a cross layer algorithm considering power control at the physical layer, attempt rate control at the Medium Access Control (MAC) layer and rate control at the transport layer of the network. The optimization variables are coordinated through two shadow prices. The first one regulates each session rate to the throughput of the links in its path, and the second one controls the attempt rates to meet maximal clique capacity constraint. Considering a model for successful transmission, the excitatory and inhibitory factors affecting each variable are derived. The proposed algorithm can be implemented in distributed fashion by message passing in the network. Simulation results at the link level verify the analytical approach and show that the algorithm converge and reach joint optimal point.