Abstract
We consider the distributed random access algorithms for wireless ad hoc networks in which each node needs to tune its persistent probability so as to optimize its own the total throughput. First, we present an asynchronous algorithm for updating persistent probabilities and prices to avoid collision using local coordination. By casting this algorithm as a best response in a cooperative game, we characterize its convergence analytically. We further model that each node attempts to maximize a selfish local payoff function. We characterize the Nash equilibrium (NE) of the non-cooperative game and prove the convergence of a best response algorithm to the unique NE. Then we study the energy efficient throughput maximization problem when the wireless nodes are constrained by their battery power. Despite the inherent difficulty of non-separability of the constraint set, we propose a distributed primal-based algorithm. Its convergence is studied numerically. © 2006 IEEE.
| Original language | English |
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| Title of host publication | 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore Duration: 5 Dec 2006 → 8 Dec 2006 |
Conference
| Conference | 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 |
|---|---|
| Place | Singapore |
| City | Singapore |
| Period | 5/12/06 → 8/12/06 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Ad hoc network
- Game theory
- Mathematical programming
- Medium access control (MAC)
- Wireless network
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