Cooperative mechanism of entity state information search with trajectory prediction

Abstract

In recent years, with the great progress made in embedded technology and communication technology, the number of mobile sensing devices such as smart phones, tablets, and wearable devices has grown exponentially. Such products have certain sensing, storing, computing, and communicating capabilities, and are able to complete some simple sensing tasks. Due to the influences of the location, observation period, energy supply and other factors on the fixed-deployed sensing equipment, the state information acquired by the search system in the process of matching the entity state users demand may not be accurate and complete. In view of this situation, acquiring physical state information through mobile smart devices such as smart phones, tablets, and wearable devices is a good solution. Selecting mobile intelligent devices with high sensing quality to work cooperatively to provide search services is vital, which takes advantage of the high mobility characteristic of mobile intelligent devices to fully acquire entity state information. Based on the research on how to realize the search collaboration among mobile intelligent devices, this paper uses the mobile intelligent devices' moving trajectories to predict whether they have the ability to participate in tasks, and then evaluates their sensing quality according to the historical task completion situation, and finally selects the mobile intelligent devices with high sensing quality to complete the search sensing tasks.