A Mobility Prediction Algorithm To Estimate The Contact Opportunities For Smartphone Users

The objective is to consent users to issue queries for content stored on other smart phones wherever in the network and to measure the chances of obtaining the information needed. We take for granted that smart phones can carry out searches on their local storage and we find the appropriate results for a given query to make easy searching. In our work we inspect a network of smart phones with the deliberation that Smartphone carriers expend most of their time indoors where GPS cannot be accessed. Previous research shows that GPS signal is available for 4.5 percent only of a typical user’s day. Therefore we require designing a system to support location-based services in indoor environments. As well as the methods decrease resource consumption by sufficiently choosing the number of message replicas. However most of the existing prediction-based schemes focus on the prediction of whether two nodes would encounter each other in the prospect and not on when they would encounter each other again. Still the prediction of encounter opportunities based on the encounter history of nodes is not optimal due to missing communication opportunities