Name
Title | ||
|---|---|---|
Use of Q-learning approaches for practical medium access control in wireless sensor networks. |
Abstract | ||
|---|---|---|
This paper studies the potential of a novel approach to ensure more efficient and intelligent assignment of capacity through medium access control (MAC) in practical wireless sensor networks. Q-Learning is employed as an intelligent transmission strategy. We review the existing MAC protocols in the context of Q-learning. A recently-proposed, ALOHA and Q-Learning based MAC scheme, ALOHA-Q, is considered which improves the channel performance significantly with a key benefit of simplicity. Practical implementation issues of ALOHA-Q are studied. We demonstrate the performance of the ALOHA-Q through extensive simulations and evaluations in various testbeds. A new exploration/exploitation method is proposed to strengthen the merits of the ALOHA-Q against dynamic the channel and environment conditions. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.engappai.2016.06.012 | Engineering Applications of Artificial Intelligence |
Keywords | Field | DocType |
Q-Learning,ALOHA,Medium access control,Wireless sensor networks | Key distribution in wireless sensor networks,Multiple Access with Collision Avoidance for Wireless,Aloha,Computer science,Computer network,Q-learning,Communication channel,Access control,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
55 | C | 0952-1976 |
Citations | PageRank | References |
4 | 0.45 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Selahattin Kosunalp | 1 | 18 | 1.91 |
| Yi Chu | 2 | 17 | 2.29 |
| Paul D. Mitchell | 3 | 188 | 25.21 |
| David Grace | 4 | 281 | 35.65 |
| Tim Clarke | 5 | 102 | 20.02 |