Study On Node Mobility Model And Link Stability In Transoceanic Civil Aeronautical Ad Hoc Networks

Recently, the fast development of civil aviation leads to the air traffic congestion and increasing demands of airborne network. The aeronautical ad hoc networks(AANET) will be an implement of Aeronautical mobile communication network. One of the key points for AANET researches is how to provide safe and reliable communication when flying over seas. Node mobility model is designed based on node motion, which is mainly used for designing and simulating routing protocols. Realistic models can reflect protocols truly. The high speed of airliners in AANET makes the links break frequently so that the multi-hop communications are extremely unstable, which weaken the performance of routing and network.Based on the characteristics of airplanes motion in transoceanic AANET, we proposed a new node mobility model which applies to those scenarios. Then we use the probability theory to analysis the link stability on the basis of proposed node mobility model. These works will lay a foundation for our future researches. The main contributions of the thesis are as following:① We can obtain the reasons why they are not suitable for AANET by Simulating and analyzing the node mobility models used frequently. This thesis presents a new node mobility. It has two stages: one is stationary phase of flight; the other is smooth turn flight phase. In the first stage, the plane is disturbed by air flow, generating a small perturbation. Then the plane will enter the second stage with a certain probability. In this stage, the node will turn with a constant velocity in order to turn smoothly. We resembled the data of realistic planes, and then compared with simulation result. We simulate the model in Matlab, the result shows that the trajectory of a node in model is closed to the truth. Based on the new model, we simulate AODV、DSDV and MRPPS routing protocols in NS2.② First we classify and research the methods of link stability analysis, and then use probability and Markov Chain theory to derive some formulas, including relative velocity、link lifetime、cumulative distribution function and probability distribution function of link lifetime. Verify the formulas in Matlab. The result shows the theory can effectively analyze link lifetime.