Time And Distance Based On Collaborative Sensing Task Allocation Algorithm In Mobile Internet

Collaborative sensing can effectively reduce the number of sensing nodes in the sensing system and save the cost of the system.And the quality of the data collected by the competitive sensing nodes is higher.Therefore,in view of the current widespread intelligent devices,more and more people want to quickly perceive the changes around the world,and the need to interact with the real world is same.It is of great significance to study collaborative sensing.At home and abroad,most of the researches on Collaborative sensing mainly focus on the use of collaborative terminal resources,the integration of collaborative data and the allocation of collaborative tasks.For the research of sensing task assignment,researches at home and abroad mainly focus on three aspects: task requester,task publisher and task executor.All of these studies provide guidance for the allocation of collaborative sensing tasks,but there is no research on collaborative task allocation for mobile Internet.This paper mainly studies the collaborative sensing task assignment problem in the mobile Internet.First,in view of the problem that the traditional sensing task allocation ignores the temporal and spatial attributes of the task,the temporal and spatial attributes of the task are studied.On this basis,the trajectory of the mobile sensing terminal is predicted.The prediction results are analyzed by the collaborative sensing model,and the collaborative sensing task assignment algorithm is proposed in this paper.The analysis and research of reality collaborative perception scene further abstracts a multi-dimensional time and distance based collaborative sensing task assignment problem.For task assignment,we should not only focus on the temporal and spatial requirements of tasks,but also consider the participation level and perceived cost of mobile sensing terminals.The factors that need to be considered are multidimensional,and the former algorithm is no longer applicable.Therefore,a multidimensional time and distance based task allocation algorithm is proposed.The algorithm aims at maximizing the participation and coverage,and minimizing the sensing cost.The algorithm selects the nodes to perform the collaborative task.We prove the effectiveness and superiority of the algorithm through simulation comparison.Through the research of collaborative sensing task allocation algorithm for time and distance based in mobile Internet.It can effectively reduce the number of nodes involved in existing large-scale sensing systems,save the cost of the sensing system platform and increase the coverage rate.And by the collaboration between nodes,it can reduce the participation of the perceptive nodes with low data quality,and the allocation model proposed in this paper has high adaptability and can be used in a variety of collaborative sensing task allocation systems.So it is of great significance to the development of mobile Internet and the Internet of things.