Grid-based Indoor Cooperation Localization Algorithm In Wireless Networks

With the rapid development of wireless communication technology and sensor positioning technology,location based services has been seamlessly integrated into people's daily life,and people need lower localization error.There are a variety of networks providing location based service,such as global positioning system,global system for mobile communication,wireless sensor network,wireless local area networks.Each positioning technology have own advantages and disadvantages,and the application scenarios,localization accuracy,real-time,power consumption and the cost are different.However,localization accuracy of a technology is limited.Cooperative localization between networks is a choice.We research on wireless network positioning technology.The main contributions of the paper are as follows:To improve the low indoor localization accuracy,this paper proposes a Grid-based indoor cooperation localization algorithm in wireless networks(GICLA)through collaborative localization of heterogeneous networks.GICLA divides a signal covering region into several grids,gets many kinds of signal information of these networks,and judges the localization ability of grids,which is different from single localization mode in all regions.It assigns different weight to each network in each grid,determines whether multi-networks are cooperative,and analyzes and obtains an optimal localization combination scheme.Moreover,GICLA can also be applied to outdoor localization directly when it collects outdoor signals of different networks in offline phase and expands the cooperation localization fingerprint database.Simulation results show that GICLA outperforms single network localization algorithm and the equal weight allocating algorithm.GICLA improves localization accuracy and localization ability rate of the covered region.In the multi networks indoor environment,further improved the algorithm "grid-based indoor cooperation localization algorithm in wireless networks",this paper proposes another algorithm indoor cooperation target tracking lo calization algorithm in wireless networks.According to the characteristics of the network signals,it calculates based on the dynamic trajectory of the unknown nodes.The algorithm combined with the advantages of the single network tracking is divided int o offline phase and online phase.In the offline phase,a cooperative localization fingerprint database is established.In the online phase,the unknown nodes are located by the region overlapping mechanism,the prediction mechanism,and the cross grid strategy.Simulation results show that this algorithm is better than a single network tracking algorithm on tracking localization accuracy,and has good scalability.