Implementation of Autonomous Mobile Mesh Network
 |
International Journal of Engineering Trends and Technology (IJETT) | 
|
| © 2016 by IJETT Journal | ||
| Volume-35 Number-3 |
||
| Year of Publication : 2016 | ||
| Authors : 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), V35(3),129-134 May 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
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.
References
[1] M. Alicherry, R. Bhatia, and L.E. Li, “Joint Channel Assignment and Routing for Throughput Optimization in Multi-Radio Wireless Mesh Networks,” Proc. ACM MobiCom, 2005. SHEN ET AL.: AUTONOMOUS MOBILE MESH NETWORKS 375
[2] K. Blakely and B. Lowekamp, “A Structured Group Mobility Model for the Simulation of Mobile Ad Hoc Networks,” Proc. Second Int’l Workshop Mobility Management & Wireless Access Protocols (MobiWac), 2004.
[3] Y.-C. Chen, E. Rosensweig, J. Kurose, and D. Towsley, “Group Detection in Mobility Traces,” Proc. Sixth Int’l Wireless Comm. And Mobile Computing Conf. (IWCMC ’10), 2010.
[4] ] T. Camp, J. Boleng, and V. Davies, “A Survey of Mobility Models for Ad Hoc Network Research,” Wireless Comm. and Mobile Computing, vol. 2, no. 5, pp. 483-502, 2002.
[5] R. Draves, J. Padhye, and B. Zill, “Comparison of Routing Metrics for Static Multi-Hop Wireless Networks,” Proc. ACM SIGCOMM, 2004.
[6] R. Draves, J. Padhye, and B. Zill, “Routing in Multi-Radio, Multi- Hop Wireless Mesh Networks,” Proc. ACM MobiCom, 2004 “Quadrocopter LLC,” http://quadrocopter.us/, 2013.
[7] E. Dahlman, S. Parkvall, and J. Sko¨ ld, 4G LTE/LTE-Advanced for Mobile Broadband. Academic, 2011.
[8] B. Frey and D. Bueck, “Clustering by Passing Messages between Data Points,” Science, vol. 315, no. 5814, pp. 972-976,.
[9] K. Fall, “A Delay-Tolerant Network Architecture for Challenged Internets,” Proc. ACM Special Interest Group on Data Comm., 2003.
[10] R. Gandhi, S. Khuller, and A. Srinivasan, “Approximation Algorithms for Partial Covering Problems,” Proc. 28th Int’l Colloquium Automata, Languages and Programming, pp. 225-236, 2001.
[11] A. Guttman, “R-Trees: A Dynamic Index Structure for Spatial Searching,” Proc. ACM SIGMOD Int’l Conf. Management of Data (SIGMOD),1984.
Keywords
Mobile Mesh Networks, Dynamic Topology Deployment, Client Tracking