Research On Highly Efficient Data Dissemination In The Internet Of Vehicles

With the urgent safety and efficiency requirement of road traffic management system,and the increasing communication demand of mobile users,the Internet of vehicles(IoV)has become a hot research area.The highly efficient data dissemination mechanism is the basic of smart trav-eling and vehicular social networks.In our design,the objective of highly efficient data dissemi-nation mechanism is to both minimize the transmission delay and maximize the network goodput,so that the system response delay and data transmission efficiency can be guaranteed.However,the design of efficient data dissemination algorithms still faces many challenges,including the timeliness of data transmission,the efficiency of task execution,the privacy of individual in-formation and the efficiency of energy management.It is far from enough for the investigation of efficient data dissemination schemes.This dissertation designs solutions by considering the characteristics of IoVs,including highly dynamic topology,limited communication duration and high-speed vehicles.The main contributions of this dissertation are as follows:1.In order to resolve the problem of efficient data transmission,we propose a feasible so-lution to minimize the response time for traffic management service in Chapter 2,by enabling delay-sensitive content dissemination based on heterogeneous network access in IoV systems.First,a cluster-based traffic management scheme is proposed to collect event reports and upload messages cooperatively,which largely shortens the response time of traffic management server and reduces the communication overhead.Second,an optimization problem is formulated by jointly considering the expected response time and message receiving time of the traffic man-agement server,in order to both satisfy the user's personal utility and reach the global objective.Our method not only guarantees the message transmission ratio,but also lowers the system re-sponse time.2.By considering the constraint of computing resources and relieving its affects for the performance(such as high transmission delay)of highly efficient data dissemination,we design a dynamic computation task offloading scheme for highly efficient data dissemination in Chapter3.This work is an early effort to provide a systematic design of offloading for real-time traffic management in fog-based IoV systems.We utilize moving and parked vehicles as fog nodes to extend the facility of cloud computing.A mathematical framework is cast to investigate the offloading problem by message flow scheduling among the cloudlet and fog nodes.In addition,an approximate approach is proposed to solve the formulated optimization problem.This work improves the utility of network resources,lowers the installation and maintenance costs of fog nodes,and guarantees the latency of task execution.3.Concentrating on the impacts(such as low transmission efficiency)of potential threatens for highly efficient data dissemination,we design a privacy-preserving mechanism for highly ef-ficient data dissemination in Chapter 4.We integrate a security-based mobility prediction method into a routing decision,in order to protect attribute-based privacy and improve transmission effi-ciency.Furthermore,we construct an attribute-based cryptosystem to protect data privacy at the cost of acceptable resource consumption.This framework both guarantees message transmission efficiency,and protects individual privacy.4.To conquer the challenges of energy loss for RoadSide Units(RSUs),which may result in service delay and even transmission interruption in highly efficient data transmission processes,we propose two algorithms for energy management in IoV systems in Chapter 5.First,we design an energy harvesting scheme for highly efficient data dissemination,to make RSUs intelligently choose energy harvesting strategies with the purpose of satisfying the required services.Second,an energy-efficient task scheduling mechanism for highly efficient data dissemination is intro-duced,which can make a balance between energy consumption and task processing latency by task scheduling among fog nodes.Overall,focusing on the factors that affecting the efficiency of highly efficient data trans-mission processes in IoVs,this dissertation provides deep analyses and designs corresponding schemes from different aspects.Compared with other existing algorithms,the designed algo-rithms and schemes are more effective,and have better performance.