Hybrid model for data management and acquisition in sensor network

Abstract

Different ways are used for sensor data acquisition and management in wireless and sensor network (WSN). Two major approaches for data acquisition and management are data collection and logging network models. The data collection network provides a database abstraction from the base station. It considers the whole network as a database. Meantime, the data logging network is used to log the sensor readings and metadata inside the mote itself. Data logging network is provided a database for a sensor mote. The data collection network deals with real time sensed data and data logging network deals with stored sensor data bulk. Thus, there is a gap between them when communicating with each other. There isn't any existing approach to compare real time data and historical data. Hence, the proposed model bridges the gap between data logging network and data collection network. It addresses the real-world scenarios in a reliable manner, such as historical data and metadata management. A flexible sensor network which can act as both data collection and data logging networks based upon user requirements has been not introduced yet. Therefore, a novel hybrid model is a dire need of WSN. This research proved that the cost of communication energy of the network can be reduced by using the hybrid model. Hence, the total cost will also be reduced in WSN.