Abstract

This paper addresses issues concerned with design and managing of mobile ad hoc networks. We focus on self-organizing, cooperative and coherent networks that enable a continuous communication with a central decision unit and adopt to changes in an unknown environment to achieve a given goal. In general, it is very difficult to model a motion of nodes of a real-life ad hoc network. However, mobility modeling is a critical element that has great influence on the performance characteristics of a cooperative system. In this paper we investigate a novel approach to cooperative and fully connected networks design. We present an algorithm for efficient calculating of motion trajectories of wireless devices. Our computing scheme adopts two techniques, the concept of an artificial potential field and the concept of a particle-based mobility. The utility and efficiency of the proposed approach has been justified through simulation experiments. The results of presented case studies show a wide range of applications of our method starting from simple to more complex ad hoc networks.

Highlights

  • A mobile ad hoc network (MANET) comprises a group of self-organizing wireless devices that can play the roles of routers and terminals [4, 16]

  • In ad hoc networks no fixed network infrastructure components are required for communication, no device has a specific location assigned, and there is no central network management unit

  • The main aim of this paper is to present a novel approach to motion planning of a set of wireless devices that form a cooperative and coherent network

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Summary

Introduction

A mobile ad hoc network (MANET) comprises a group of self-organizing wireless devices that can play the roles of routers and terminals [4, 16]. In ad hoc networks no fixed network infrastructure components are required for communication, no device has a specific location assigned, and there is no central network management unit. The objectives of many network systems are: (i) a comprehensive monitoring of a workspace, (ii) a tracking of moving objects, (iii) a providing network infrastructure to tackle emergency incidents and support evacuation and emergency systems, etc. To meet these requirements a permanent connection between data sources (network nodes) and data sink (base station) is required. The potential function can be constructed as a sum of repulsive V− and attractive V+ potentials, i.e

Introduction to mobility models
Group mobility model for coherent and cooperative network
Network system and workspace definition
Network system objects definition
Group mobility model formulation
Algorithm for motion trajectory calculation
Reference distance estimation
Displacement calculation
Motion pattern computing for coherent network
Case study results
The design of coherent network
Re-establishing the communication infrastructure
Emergency situation awareness
Findings
Conclusion

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