Simulation of Mobile Wireless Ad Hoc Networks for Emergency Situation Awareness

Abstract

Abstract-Mobile self-organizing ad hoc networks (MANETs) can significantly enhance the capability to coordinate the emergency actions as well as monitor contaminated areas, explore unmanned space, inspect and control working environments. The management of networks that can dynamically and freely organize into temporary topologies raises interesting problems, that are particularly challenging for networks formed by mobile devices. Due to the inherent complexity of these systems, the development of applications relying on mobile network nodes and wireless communication protocols would be greatly simplified by the use of specific tools for supporting testing and performance evaluation. Modeling and simulation are widely used in the design and development of wireless ad hoc networks. In this paper we model mobile ad hoc network (MANET) using discrete event systems methodology (DEVS) and describe the functionality and performance of the Java-based simulation tool for the performance evaluation of self-organizing and cooperative networks for emergency situation awareness. The simulator can provide a useful support for the verification of the design of a network system, employed communication protocols, control and coordination algorithms, allowing the user to display a step-bystep evolution of the network in a suitable graphical interface. The practical case studies are provided to illustrate the operation and performance of the presented software.

Comparison of MANET self-organization methods for boundary detection/tracking of heavy gas cloud

“…The experiments were conducted with MobASim platform [47], which contains both PFM model and simple model of heavy gas dispersion. The aim of the experiments was to verify the quality of the proposed approaches and to adjust their parameters according to the following criteria:…”

Adaptation of MANET topology to monitor dynamic phenomena clouds

“…11 IEEE Catalog Number: CFP1785N-ART c 2017, PTIgas cloud are presented and discussed. Two more and less advanced gas dispersion models were taken into account: the box model [15] and the advance model provided in SLAB [16].…”