Discovering Data Storage by Task Scheduling and Network Construction for Data Compression in Global Position System
Data storage and transmission, task scheduling, and network construction used for that. The authors have proposed a clustering algorithm to find the group relationships for query and data aggregation efficiency. This paper are as follows: First, since the clustering algorithm itself is a centralized algorithm, in this paper, they further consider systematically combining multiple local clustering results into a consensus to improve the clustering quality and for use in the update-based tracking network. Second, when a delay is tolerant in the tracking application, a new data management approach is required to offer transmission efficiency, which also motivates this study. They thus define the problem of compressing the location data of a group of moving objects as the group data compression problem.