A Hierarchical Representation for Indexing Data Condensed Semantically from Physically Massive Data Out of Sensor Networks on the Rove

Abstract

Many of conveniences are nowadays on the way to be smart; mobile phones, cars and power stations. Among them, mobile conveniences generate much of sensor data in company with the persons. Some of sensor data are required for processing at distant places in which the sensor data are aggregated, for capabilities of smartness. In the case of vehicles the sensor data are transmitted for malfunction detection and health monitoring of the vehicle in near future. The sensor data are substantially large in the amount of one vehicle’s data by multiple kinds of sensors, and the amount of a number of vehicles’ data gathered is huge to be received concurrently at some server. Further when the gathered data are to be aggregated in one system the management of the enormous data could determine the functionality of the system. In this work, a data abbreviation diminishes the amount to be transmitted, and the data negating a valid extent consist the majority of data to be aggregated exploiting the semantics of the sensor data gathered. This method is far different from the conventional compressions. The aggregated data are managed and displayed when necessary in one system tracing faulty cars in a region. Although the aggregated data are in a condensed form, complete ones are retrievable from the original server.