Adaptive wireless networks using learning automata
Wireless networks operate in environments with unknown and time-varying characteristics.
The changing nature of many of these characteristics will significantly affect network …
The changing nature of many of these characteristics will significantly affect network …
An intelligent backbone formation algorithm for wireless ad hoc networks based on distributed learning automata
In wireless ad hoc networks, due to the dynamic topology changes, multi hop
communications and strict resource limitations, routing becomes the most challenging issue …
communications and strict resource limitations, routing becomes the most challenging issue …
Clustering the wireless Ad Hoc networks: A distributed learning automata approach
In Ad Hoc networks, the performance is significantly degraded as the size of the network
grows. The network clustering by which the nodes are hierarchically organized on the basis …
grows. The network clustering by which the nodes are hierarchically organized on the basis …
A learning automata based scheduling solution to the dynamic point coverage problem in wireless sensor networks
The dynamic point coverage problem in wireless sensor networks is to detect some moving
target points in the area of the network using as little sensor nodes as possible. One way to …
target points in the area of the network using as little sensor nodes as possible. One way to …
Data aggregation in sensor networks using learning automata
One way to reduce energy consumption in wireless sensor networks is to reduce the number
of packets being transmitted in the network. As sensor networks are usually deployed with a …
of packets being transmitted in the network. As sensor networks are usually deployed with a …
GateMaker: A transistor to gate level model extractor for simulation, automatic test pattern generation and verification
S Kundu - … International Test Conference 1998 (IEEE Cat. No …, 1998 - ieeexplore.ieee.org
Hierarchy is key to managing design complexity. A hierarchical design system needs to
maintain many views of the same design entity. Some of the examples might be physical …
maintain many views of the same design entity. Some of the examples might be physical …
A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem
In this article, we introduce a novel learning automata (LA) solution to the nonlinear
stochastic proportional polling (NSPP) problem. The only available solution to this problem …
stochastic proportional polling (NSPP) problem. The only available solution to this problem …
A learning-based approach for distributed multi-radio channel allocation in wireless mesh networks
S Pediaditaki, P Arrieta… - 2009 17th IEEE …, 2009 - ieeexplore.ieee.org
We consider the distributed channel allocation problem in IEEE 802.11-based multi-radio
wireless mesh networks. We develop a new scalable protocol termed LCAP for efficient and …
wireless mesh networks. We develop a new scalable protocol termed LCAP for efficient and …
Weighted Steiner connected dominating set and its application to multicast routing in wireless MANETs
In this paper, we first propose three centralized learning automata-based heuristic
algorithms for approximating a near optimal solution to the minimum weight Steiner …
algorithms for approximating a near optimal solution to the minimum weight Steiner …
Performance evaluation of slotted aloha based iot networks under asymmetric traffic
LoRaWAN is a highly promising technology for wide access networks and sensor
applications. It is considered one of the top alternatives for the networking in the Internet of …
applications. It is considered one of the top alternatives for the networking in the Internet of …