Learning automata: an introduction
Learning automata: an introduction
Mobile communications
International Journal of Communication Systems
EBA: An Enhancement of the IEEE 802.11 DCF via Distributed Reservation
IEEE Transactions on Mobile Computing
Distributed Fair Scheduling in a Wireless LAN
IEEE Transactions on Mobile Computing
An Efficient Dynamic Algorithm for Maintaining All-Pairs Shortest Paths in Stochastic Networks
IEEE Transactions on Computers
International Journal of Communication Networks and Distributed Systems
International Journal of Communication Systems
LACAS: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
IEEE Wireless Communications
Distributed mechanisms for quality of service in wireless LANs
IEEE Wireless Communications
An IP-based QoS architecture for 4G operator scenarios
IEEE Wireless Communications
Analysis of IEEE 802.11e for QoS support in wireless LANs
IEEE Wireless Communications
A survey of quality of service in IEEE 802.11 networks
IEEE Wireless Communications
Dynamic algorithms for the shortest path routing problem: learning automata-based solutions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism
IEEE Journal on Selected Areas in Communications
Policy controlled self-configuration in unattended wireless sensor networks
Journal of Network and Computer Applications
Localized policy-based target tracking using wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Journal of Systems Architecture: the EUROMICRO Journal
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Providing effective medium access for wireless networks is a challenging task. Most of the existing protocols of IEEE 802.11 Medium Access Control (MAC) work towards the goal of achieving effective channel access by developing various backoff procedures. In this paper, we make an attempt to develop a new medium access protocol named Learning Automata (LA) based Wireless Channel Reservation (LAWCR). We use an LA approach to implement reservation for channel access for single hop wireless networks. Also, sequence procedure is used to improve the reservation mechanism. The performance of the proposed LAWCR scheme show significant improvements over the legacy DCF protocol with respect to important criteria such as the average time spent in the buffer and the throughput.