Data Accuracy Models Under Spatio - Temporal Correlation With Adaptive Strategies in Wireless Sensor Networks
Recent progress in real time distributed system has made a drastic improvement for monitoring continuous data over wireless sensor networks. Such continuous monitoring of real data applications permits to observe in both time and space. In wireless sensor network, sensor nodes are deployed both in time and space to monitor the physical phenomenon of data (e.g. temperature) from the physical environment. For a specific time instant, sensor nodes collect the data in space domain and transmit it to the sink node. Wireless sensor nodes continuously observe and sense statistical data from the physical environment. But what degree of accurate data sensed by the sensor nodes collaboratively is a big issue for wireless sensor networks.