A Characteristic Study of Mobility Models Prediction Methods for MANETs
Shashiraj Teotia1, Sohan Garg2
11.Shashiraj Teotia, Sohan Garg, Research Scholar IFTM University Moradabad, (U.P.)
2Sohan Garg, Associate Professor, MCA Department, RKGIT, Ghaziabad, (U.P)
Manuscript received on May 17, 2012. | Revised Manuscript received on June 14, 2012. | Manuscript published on June 30, 2012. | PP: 434-441 | Volume-1 Issue-5, June 2012. | Retrieval Number: E0447051512©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Mobile Ad hoc Network (MANET) is a collection of wireless mobile nodes forming a network without using any existing infrastructure. All mobile nodes function as mobile routers that discover and maintain routes to other mobile nodes of the network and therefore, can be connected dynamically in an arbitrary manner. The mobility attribute of MANETs is a very significant one. The mobile nodes may follow different mobility patterns that may affect connectivity, and in turn protocol mechanisms and performance. Mobility prediction may positively affect the service- oriented aspects as well as the application-oriented aspects of ad hoc networking. At the network level, accurate node mobilityprediction may be critical to tasks such as call admission control, reservation of network resources, pre-configuration of services and QoS provisioning. At the application level, user mobility prediction in combination with user’s profile may provide the user with enhanced location-based wireless services, such as route guidance, local traffic information and on-line advertising. In this chapter we present the most important mobilityprediction schemes for MANETs in the literature, focusing on their main design principles and characteristics.
Keywords: MANETs, Cluster, Clustering, Global Positioning System (GPS), Mobility Prediction, Network Scalability, Signal attenuation Introduction.