dc.contributor.author | Kosunalp S. | |
dc.contributor.author | Mitchell P.D. | |
dc.contributor.author | Grace D. | |
dc.contributor.author | Clarke T. | |
dc.date.accessioned | 20.04.201910:49:12 | |
dc.date.accessioned | 2019-04-20T21:43:30Z | |
dc.date.available | 20.04.201910:49:12 | |
dc.date.available | 2019-04-20T21:43:30Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1225-6463 | |
dc.identifier.uri | https://dx.doi.org/10.4218/etrij.16.0115.1030 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12403/582 | |
dc.description.abstract | This paper presents the description, practical implementation, and stability analysis of a recently proposed, energy-efficient, medium access control protocol for wireless sensor networks, ALOHA-Q, which employs a reinforcement-learning framework as an intelligent transmission strategy. The channel performance is evaluated through a simulation and experiments conducted using a real-world test-bed. The stability of the system against possible changes in the environment and changing channel conditions is studied with a discussion on the resilience level of the system. A Markov model is derived to represent the system behavior and estimate the time in which the system loses its operation. A novel scheme is also proposed to protect the lifetime of the system when the environment and channel conditions do not sufficiently maintain the system operation. © 2016 ETRI. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | ETRI | |
dc.relation.isversionof | 10.4218/etrij.16.0115.1030 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Medium access control | |
dc.subject | Q-learning | |
dc.subject | Resilience level | |
dc.subject | Wireless sensor networks | |
dc.subject | Access control | |
dc.subject | Energy efficiency | |
dc.subject | Markov processes | |
dc.subject | Medium access control | |
dc.subject | Reinforcement learning | |
dc.subject | System stability | |
dc.subject | Telecommunication networks | |
dc.subject | Channel conditions | |
dc.subject | Energy efficient | |
dc.subject | Medium access control protocols | |
dc.subject | Q-learning | |
dc.subject | Real-world tests | |
dc.subject | Resilience level | |
dc.subject | Stability analysis | |
dc.subject | Transmission strategies | |
dc.subject | Wireless sensor networks | |
dc.subject | Medium access control | |
dc.subject | Q-learning | |
dc.subject | Resilience level | |
dc.subject | Wireless sensor networks | |
dc.subject | Access control | |
dc.subject | Energy efficiency | |
dc.subject | Markov processes | |
dc.subject | Medium access control | |
dc.subject | Reinforcement learning | |
dc.subject | System stability | |
dc.subject | Telecommunication networks | |
dc.subject | Channel conditions | |
dc.subject | Energy efficient | |
dc.subject | Medium access control protocols | |
dc.subject | Q-learning | |
dc.subject | Real-world tests | |
dc.subject | Resilience level | |
dc.subject | Stability analysis | |
dc.subject | Transmission strategies | |
dc.subject | Wireless sensor networks | |
dc.title | Practical implementation and stability analysis of ALOHA-Q for wireless sensor networks | en_US |
dc.type | article | en_US |
dc.relation.journal | ETRI Journal | en_US |
dc.contributor.department | Bayburt University | en_US |
dc.contributor.authorID | 36975673200 | |
dc.contributor.authorID | 34571564500 | |
dc.contributor.authorID | 7004927899 | |
dc.contributor.authorID | 7202915655 | |
dc.identifier.volume | 38 | |
dc.identifier.issue | 5 | |
dc.identifier.startpage | 911 | |
dc.identifier.endpage | 921 | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |