Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
380257 | Engineering Applications of Artificial Intelligence | 2015 | 10 Pages |
Abstract
This paper presents a novel approach to medium access control for single-hop wireless sensor networks. The ALOHA-Q protocol applies Q-Learning to frame based ALOHA as an intelligent slot selection strategy capable of migrating from random access to perfect scheduling. Results show that ALOHA-Q significantly outperforms Slotted ALOHA in terms of energy-efficiency, delay and throughput. It achieves comparable performance to S-MAC and Z-MAC with much lower complexity and overheads. A Markov model is developed to estimate the convergence time of its simple learning process and to validate the simulation results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yi Chu, Selahattin Kosunalp, Paul D. Mitchell, David Grace, Tim Clarke,