DEVS modeling of mobile wireless ad hoc networks

Abstract

Ad hoc networks are self-organizing wireless systems conformed by cooperating neighboring nodes that conform networks with variable topology. Analyzing these networks is a complex task due to their dynamic and irregular nature. Cellular Automata (CA), a very popular technique to study self-organizing systems, can be used to model and simulate ad hoc networks, as the modeling technique resembles the system being modeled. Cell-DEVS was proposed as an extension to CA in which each cell in the system is considered as a DEVS model. The approach permits defining models with asynchronous behavior, and to execute them with high efficiency. We show how these techniques can be used to model mobile wireless ad hoc networks, making easy model definition, analysis and visualization of the results. The use of Cell-DEVS permitted us to easily develop new experiments, which allowed us to extend routing techniques for inter-networking and multicast routing, while permitting seamless integration with traditional networking models.

A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulation: an exploratory meta-analysis

“…Hong et al 105 Farooq et al 64 Kim et al 74 Wainer and Liu 36 Fishwick et al 50 Fishwick et al 66 Fishwick 65 Not specified Waisel et al 37…”

“…Bruzzone et al 54 Farooq et al 64 Murphy and Perera 83 Otamendi et al 32 Rodriguez et al 87 Qu et al 18 6…”

A simulation approach for optimal design of RFID sensor tag-based cold chain systems

“…Since logistical activities can be regarded as events, SCCSs belong to discrete event systems. Besides the logistics processes, DEVS formalism has been also applied to various areas including computer/network systems and process control in a factory (Farooq et al, 2006;Pujo et al, 2006;Zacharewicz et al, 2011).…”

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“…In order to exploit these properties in network routing, some algorithms and protocols are developed by researchers such as ant colony optimization (ACO) [11], particle swarm optimization (PSO) [24,38], mobile agents [3,39,32,10,17]. Some works are also based on honeybees such as [36,25,12,46].…”