Design And Implementation Of Crowd Sensing Based Target Search System

In modern society,the loss of children,the elderly,pets,and other objects is very common.In particular,the issue of the disappearance of children has drawn widespread public concern.Most of the current target search systems only rely on the search of human power,lacking the support of effective technical means,resulting in low search efficiency.As a new sensing paradigm of IoT,crowd sensing treats people’s mobile devices as basic sensing units and achieves large-scale sensing tasks through crowdsourced collaboration through mobile internet,which provides a new and effective way for target search.In this paper,a target search system based on crowd sensing is designed.By using Bluetooth Low Energy as the target peripheral device,a target loss alarm method based on signal strength for adaptive state transition is proposed.After the target is lost,the target information is diffused through the mobile social network and the opportunity connection,and the users from the target area are encouraged to use Bluetooth of the smartphone to collaboratively complete the target search task.We also propose a crowd collaboration based method to determine the exact location of the target.Simultaneously,a method of dynamically adjusting the scanning period and interval in the search process based on the number of discovered peer nodes is proposed,so as to save the energy consumption of smartphones in the target search process.Finally,through the system function test and actual experiment,it is verified that the system can achieve the expected result.