The Research Of Mobile Ad Hoc Network’s Mobility Models

Mobile Ad Hoc network is a kind of no centre, self-organized, multi-hops, movable distributed network, it has the advantage of networking quickly, good flexibility, ability to adapt to different environment quickly and anti-damage ability strong, therefore it’s widely used in military, disaster relief, conference, research and other fields.Mobility model is used to describe the network nodes’move mode (including its’speed, position and acceleration, etc), and decide how the node move, and the abstract of the node moves. Mobile Ad Hoc network performance closely depends on the nodes’movement of mobility model, the mobility model and its parameters selection have great significance to the simulation results. The research Mobile model is the basis of the Ad Hoc network protocols and algorithm performance evaluation, play a crucial role for the achieving of network and performance improvement.This paper first introduces mobile Ad Hoc network architecture, main characteristics and application areas; then classified introduce mobility model, detailed introduce multiple entity mobility models’and group mobility models’ moving mode and algorithm, and describes their advantages and shortcomings and application areas. Node spatial distribution is one aspect of the research of the mobility model, and also one of the indicators of the evaluation of the mobility model. This paper research and compare a wide range of mobility model’s node spatial distribution, and draw the conclusion that the different speed, speed obey different distributions, pause time obey different distributions and different simulation areas have impact on the node spatial distribution.After summarizing the mobility model’s defects, based on the random direction mobility model, by setting the nodes’ running time and giving different speed to the node sub-period, propose an improved random direction mobility model, and use NS-2to do simulation experiment to analysis the performance of the model. The results show that the improved random direction mobility model node spatial distribution is more uniform, has better routing performance, lower energy consumption and can modify the parameters to make it consistent with a wider range of real-world scenarios, and to increase the use of the model area.