Geometric algorithm for height filtering in intruder monitoring system

Wireless Sensor Network (WSN) has been used for monitoring applications. However, due to the limitation of resources, efficient management of the large volume of sensor data is an important issue to deal with. In recent years, cloud computing has emerged as a new computing paradigm to provide reliable resources, software, and data on demand. It integrates its lots of resources into WSNs to innovate a number of new services. In this paper, we design an intruder monitoring system on top of a cloud platform. In the system, we propose a geometric algorithm for semantic filtering in order to remove meaningless data and reduce the volume of data stored in cloud storages. Through experiments in various environments, we show the performance of our algorithm.