Apart from mobile cellular networks, IEEE 802.11-based wireless local area networks
(WLANs) represent the most widely deployed wireless networking technology. With the …

Peer-to-Peer (P2P) reputation systems are essential to evaluate the trustworthiness of
participating peers and to combat the selfish, dishonest, and malicious peer behaviors. The …

This book is written for computer engineers, scientists, and students studying/working in
reinforcement learning and artificial intelligence domains. The book collects recent …

The need for improved network traffic and bandwidth management becomes urgent as
increasing amount of real time applications begin to coexist within current shared …

In this paper, an adaptive Petri net (PN), capable of adaptation to environmental changes, is
introduced by the fusion of learning automata and PN. In this new model, called learning …

In this paper, we propose a probabilistic preemptive (PP) scheme for service differentiation
in optical burst switching (OBS) networks. By changing the preemptive probability, an OBS …

Shortest path problem in stochastic graphs has been recently studied in the literature and a
number of algorithms has been provided to find it using varieties of learning automata …

Fog computing (FC) brings a Cloud close to users and improves the quality of service and
delay services. In this article, the convergence of FC and Software-Defined-Networking …

This paper presents a probabilistic task scheduling method to minimize the overall mean
response time of the tasks submitted to the grid computing environments. Minimum mean …

Job scheduling is an influential component of Grid computing. Grid consists of large number
of heterogeneous resources for solving large scale problems in the area of engineering and …