Research And Design Of Hybrid Sensing Service Platform Based On Internet Of Vehicles

With the development of the Internet of Things,the sensing accuracy of sensing devices in traditional fixed deployment sensing networks is getting higher and higher,and an emerging Internet of Things sensing model called "mobile crowd sensing" has begun to receive widespread attention.Each of these two sensing modes has its own unique advantages and shortcomings.Considering the characteristics of the fixed deployment sensing mode,which is stable and collect data accurately,and mobile crowd sensing,which is flexible and has a wide range of sensing,the hybrid sensing mode,combining the advantages of both,can accomplish large-scale sensing tasks,through the cooperation between fixed deployment sensing devices and mobile vehicles equipped with various sensors in Internet of Vehicles.In this paper,the processing algorithms of two types of sensing tasks in hybrid sensing scenarios based on Internet of Vehicles are studied.For the problem of task assignment under the general hybrid-sensing task processing scenario,which is sensitive to cost and pursues sensing efficiency,a "hybrid sensing-multi sensing body collaboration-greedy algorithm,HS-MSBC-GA"is proposed.Besides,aiming at the sensing demand of professional hybrid sensing tasks with sensing quality sensitivity,pursuit of maximum task completion rate and unlimited cost,a"maximum spatial coverage-minimum cost algorithm-based on minimum feasible solution search,MFSS-MSC-MCA"is proposed.In addition,a corresponding optimization algorithm is proposed to solve the optimization problem of incentive adjustment in the scenarios of professional hybrid sensing task demand adjustment.This paper starts from the application scenario and overall demand of the hybrid sensing service platform based on the Internet of Vehicles,and focuses on the core service algorithm strategy.This paper abstracts the core elements of the service platform,establishes a mathematical model,and proposes a series of suitable algorithms,verified by simulation,in hybrid sensing scenario.Combining demand analysis and service algorithm research,this paper designs the overall architecture of the hybrid sensing service platform,divides the subsystems,designs the database of the service platform,gives the detailed design and key processes,implements the prototype system,and tests it.