Data management in the CarTel mobile sensor computing system

Vladimir Bychkovsky, Kevin Chen, Michel Goraczko, Hongyi Hu, Bret Hull, Allen Miu, Eugene Shih, Yang Zhang, Hari Balakrishnan, Samuel Madden

Abstract: We propose a reusable data management system, called CarTel, for querying and collecting data from intermittently connected devices. CarTel provides a simple, incrementally-deployable platform for developing automobile-based sensor applications. Our platform provides a dynamic query system that allows both continuous (standing) and one-shot geo-spatial queries over car position, speed, and sensory data as well as a both a low-cost/high-bandwidth substrate for communicating with a large network of mobile devices.