Task Allocation Mechanism Based On Reputation In MCSN

With the rapid development of wireless communication technology and sensor technology,and the widespread popularity of mobile intelligent terminals,a new Io T sensing model of Mobile Crowd Sensing Network(MCSN)has emerged.In MCSN,users(task demanders and task collectors)can form an interactive perception network through mobile devices,and collectors perform data acquisition,analysis,or sharing operations through the device awareness module.However,the lack of participation of collectors and the low efficiency of perceived data severely limit the further development of MCSN.To this end,in recent years,scholars in the field have proposed a variety of task scheduling algorithms for different needs in order to increase the participation of collectors.However,most task scheduling algorithms ignore the need of collectors to transfer tasks to other collectors when they cannot perform tasks for some reason.If the collector cannot complete the task,it will not only lose its points or reputation,but also cause the task demander to be unable to obtain part of the perception data,thereby affecting the effectiveness of the perception data.Therefore,this paper studies a task assignment based on the individual wishes of the collector,the personal credibility of the demander and the collector,the efficiency of the data,the choice of the collector during the task,and the follow-up development of the task.The mechanism can help solve the above problems,and has certain theoretical significance and practical value.The work of this article mainly includes:1? In the single task assignment,aiming at the problem that some collectors are passively idle or unable to complete the task due to uncontrollable factors,at the same time considers the data validity and collector participation,through the personal influence and tasks of the demander and collector credibility calculates its personal credibility and ranks,based on this,a reputation-based task assignment mechanism in MCSN is designed;2? Design and implement a reputation-based task distribution prototype system in MCSN based on specific application requirements,including server front and back ends,Web client and Android mobile client;3? Based on the above prototype system,a verification experiment was carried out,and the incentive effect of the task allocation mechanism designed in this paper was analyzed from the aspects of collector's participation enthusiasm,perceived data efficiency,task completion degree,and score acquisition status.The experimental results show that the mechanism proposed in this paper,on the one hand,can reduce the risk of points or reputation losses caused by uncontrollable factors for collectors,and thus increase the participation of collectors.On the other hand,for the demander,it can effectively improve the efficiency of obtaining perception data.