A Cluster-Based Mobility Model for Intelligent Nodes

The study of mobile Ad-hoc networks depends on understanding protocols from simulations, before being applied in a real world setting. To produce a real-world environment within which an ad hoc network can be formed among a set of nodes, there is a need for the development of a realistic, generic and comprehensive mobility model instead of random-based models. Previously, realistic mobility models such as Obstacle Mobility and Pathway Mobility Models have been proposed. In these models, there are pathways and obstacles that constrain the node movements and their signals, but they have not paid attention to movement pattern of the nodes in the pathways. In this paper, a new mobility model is proposed. It includes not only a realistic environment with obstacles and pathways but also intelligent nodes like the human beings who learn how to move in these pathways. Proposed mobility model consider variant type of the mobile node with different specification. This paper shows that various MANET environments and mobile nodes can be modeled based on this work.