Research On Human Mobility Model In Mission-oriented Opportunistic Networks

Mission-Oriented Opportunistic Networks(MOONs)are a special kind of Opportunistic Networks,which are applied in the context of completing a specific mission,and transmit data through encounter opportunities generated by node movement,so as to achieve the goal of completing the mission in a dynamic and collaborative manner.In MOONs,humans carrying mobile wireless communication devices act as nodes,and the movement of nodes is regarded as human movement,and its movement is mission-oriented.In addition,missionoriented human movement often causes changes in network topology and directly affects data routing protocols and network performance.So,the study of the Mission-oriented Human Mobility Model is the basis of MOONs research and laid the foundation for other research on the application of MOONs.In Opportunistic Networks,from the simplest random walk mobility model to the complex human behavior mobility model have been published a lot.However,because most mobility models are according to random characteristics,or according to some mathematical properties,rarely consider the characteristics of human movement,so the existing mobility models using simulation tools get node trajectory cannot well reflect the real human mobility behavior and network performance,simulated data is a lack of authenticity.Therefore,in this paper,we propose a new Mission-oriented Human Mobility Model(MOHMM)for MOONs.This paper mainly conducts research from the following three aspects:(1)Build a Multi-Dimensional Mobility Metric Space(MDMMS)based on the basic features of human mobility behavior,the unique mission-oriented features in MOONs,and the relationships between humans.MDMMS is classified along the three axes of individuality,pairwise encounter and group metrics,where individual metrics mainly describe the independent behavioral characteristics of humans in time and space,pairwise encounter metrics mainly describe multiple statistical features and can reflect the status of the two parties completing the mission when two human mobile nodes meet,group metrics mainly describe similar behavioral characteristics of human groups.(2)Propose a mission-oriented human mobility model based on MDMMS.First,we dynamically set various types of parameters of nodes.In MOONs,the attribute parameters of human nodes mainly include specific mission attributes and general node attributes.Then,we design a reasonable node trajectory generator,which is carefully divided into mobility data generator,event data generator and statistical data generator,which is used to process different attribute values of nodes,and generates simulated data according to the mission orientation,so that the simulated data can be generated.And the movement trajectory of the node is more in line with the real human movement situation.(3)Take the post-disaster rescue environment as the application scenario,the OMNe T++simulator uses it as the experimental scene to conduct simulation experiments.The random waypoint mobility model(RWP)is selected as the comparison model,and two kinds of simulation experiments are mainly compared,one is the comparison of the movement trajectories of the nodes,and the other is the distribution of the nodes in the different location.After comparing and analyzing many different experiments,the results show that MOHMM can cover more features of human mobility behavior,and the simulated trajectories generated by this model are closer to the real human movement trajectories.