Aggregate Model: An Approach to Improve Query Response Time for Bulky Data

摘要

Sensor network is collection of huge number of sensor nodes to capture and monitor the physical sensing capabilities such as temperature, sound, light, humidity, pressure, etc. At the Present sensor networks supposed to be active and pre-programmed devices that can continuously forward data to the central storage location for analysis and to performing o ine queries. For such tremendously growing data from sensors, prevailing tools and methods are required to process data e ciently and accurately instantly; otherwise the response time of data processing will be too much annoying. To overcome this challenge, an aggregation model was designed to improve query response time to overall improve the quality of the sensor network data. The developed model consists four sub modules i.e. source, time, query, and data module. Source module comprises di erent aggregate functions. Time module is about to apply aggregation at three di erent time intervals. Query Module had defined that one finest aggregation level is not su cient to answer all queries because each query varies in their nature. Data module was performed to improve the accuracy of the data. The result of the study revealed that applying the aggregation at di erent time intervals improved the query response time and accuracy measurement has the significant impact on the quality of the data.