Implementation of Autonomous Mobile Mesh Network

Amit Lok; Pawan Jaiswal; Prabhat Kumar

doi:https://doi.org/10.14445/22315381/IJETT-V35P228

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Volume 35 | Number 1 | Year 2016 | Article Id. IJETT-V35P228 | DOI : https://doi.org/10.14445/22315381/IJETT-V35P228

Implementation of Autonomous Mobile Mesh Network

Amit Lok, Pawan Jaiswal, Prabhat Kumar

Citation :

Amit Lok, Pawan Jaiswal, Prabhat Kumar, "Implementation of Autonomous Mobile Mesh Network," International Journal of Engineering Trends and Technology (IJETT), vol. 35, no. 1, pp. 129-134, 2016. Crossref, https://doi.org/10.14445/22315381/IJETT-V35P228

Abstract

Mobile Ad-Hoc Networks (MANETs) are the most advancing and popular communication technologies. Mobile Ad-Hoc Networks are the widely used in the areas where a fixed infrastructure is either infeasible or unavailable. In spite of having vast applications areas, it fails in mission critical applications such as crisis management, disaster management and battlefield communications. In such applications, team members might need to work in groups scattered in the applications terrains. This situation raises network partitioning which leads MANET’s unsuitable for use. Our greatest challenge is to design a robust MANETs so that it can minimize network partitions. To address this challenging problem, in this paper we propose a new class of robust mobile ad-hoc networks called Autonomous Mobile Mesh Networks (AMMNETs). The mesh nodes used in AMMNETs has capability of following the mesh clients in the applications terrains maintaining good connectivity for both intragroup and intergroup communications between all nodes even they form different groups. We propose a distributed client tracking solution to deal with the dynamic nature of client mobility, and present techniques for dynamic topology adaptation in accordance with the mobility pattern of the clients. The simulations results shows that the AMMNET is robust against network partitioning and capable of providing high relay through put for the mobile clients.

Keywords

Mobile Mesh Networks, Dynamic Topology Deployment, Client Tracking

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