https://link.springer.com/content/pdf/10.1057%2Fjors.1963.32.pdf

Introduction to the Theory of Queues

Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks

Load balancing using clustering method is one of the most practical solutions, regarding to energy limitation in wireless sensor networks. Clustering protocols have to ensure reliability and connectivity in WSNs even in large scale environments. In this paper, a new decentralized hierarchical cluster-based routing algorithm for WSNs is proposed. The most of energy consumption occurs due to transmission of messages, such as data and control packets. In our new approach clustering and multi hop routing algorithms are performing at the same stage to decrease control packets. According to non-uniform energy consumption among nodes, clusters are formed in such a way that cluster heads have the most competency in forwarding task of intra-cluster and inter-cluster transmission tree. Energy consumption, adjustment degree and the exact distance that each data traverses to reach the base station are three main adjustment parameters for cluster heads election. Simulation results show that the proposed protocol leads to reduction of sensor nodes’ energy consumption and prolongs the network lifetime, significantly.

A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks

Autonomic schemes for threat mitigation in Internet of Things

https://doi.org/10.1016/j.compind.2021.103586

A framework for data-driven digitial twins of smart manufacturing systems

http://www.hit.bme.hu/~buttyan/publications/SchafferFHHB12comnet.pdf

Survey Secure and reliable clustering in wireless sensor networks: A critical survey

Modelling opportunistic spectrum renting in mobile cellular networks

In this paper we propose a methodology for the modeling and analysis of ad hoc networks composed by a large number of nodes moving among geographical regions. This methodology uses compositional construction of stochastic Petri nets (SPN) for building the model which allows for specifying the model and the required performance indices at a high level of abstraction. As our aim is to consider real scenarios with several geographical regions and non-trivial user behavior in each region, the size of the state space of the model can easily grow too large to analyze with exact analytical approaches or even with simulation. For this reason, we propose to carry out the analysis by constructing the mean field approximation of the behavior of the SPN. The approximation is provided by a set of ordinary differential equations (ODE) that can be derived automatically from the SPN and can be solved numerically with low computational effort even for large models. The methodology is illustrated on a case study, modeling application spreading in a mobile environment. It will be shown that the approximate results obtained by the mean field approach capture well the behavior of the system.

/pdf/a-mean-field-based-methodology-for-modeling-mobility-in-ad-3dysvi20c3.pdf

A Mean Field Based Methodology for Modeling Mobility in Ad Hoc Networks

Nowadays, spectrum renting is a frequently investigated research topic with the aim of improving the efficiency of spectrum usage in mobile cellular networks. In this paper, we propose a finite-source queuing model, in which service providers may rent each other's unutilized frequency bands. Our model contains two source pools: one for subscribers generating fresh calls in the investigated mobile cell, and another for modeling handover calls. The model considers the traveling of subscribers over the borders of the investigated mobile cell, too. Moreover, we take into account the retrial phenomenon caused by the impatience of subscribers.

A finite-source queuing model for spectrum renting in mobile cellular networks

Performance analysis can be carried out in several ways, especially in case of Markovian models. In order to interpret high level of abstraction, we often use modeling tools like timed Petri nets (TPNs). Although some subclasses of TPNs (e.g. stochastic Petri nets (SPNs) [17, 19]) can be handled analytically, a general timed Petri net is hard to evaluate via numerical analysis. However, the simulation of SPNs or deterministic and stochastic Petri nets (DSPNs) [16] are supported by many known tools (see, e.g. [3, 20]), it is hard to find a simulation tool for timed Petri nets with generally distributed (i.e., particular but arbitrarily chosen) firing times.

In this paper, we present TiPeNeSS (Timed Petri Net Simulator Software) which supports the simulation of timed Petri nets containing transitions with generally distributed firing delays. The input of the software (the Petri net and the parameters) is defined in an XML file, what allows us to generate results in batch mode. Besides, we describe a case study in which we optimize the frequency of the regular maintenance in a manufacturing process.

/pdf/tipeness-a-timed-petri-net-simulator-software-with-generally-2h8z58jo4j.pdf

TiPeNeSS: a timed petri net simulator software with generally distributed firing delays

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