Cluster Based Data Query Analysis and Optimization for Wireless Sensor Networks

In a wireless sensor network, each sensor generates real-time data about its environment. The data volume can overload the limited storage and communication capacity of a sensor network. It is unpractical to store a large volume of raw data locally at the data sources or to transmit the data over the sensor network to a central depository. In the paper, we present a cluster based data query protocol and introduce the concept of query data volume as a way to quantify the cost of each query. Then we present our analysis and simulation results to show how our protocol and algorithm can optimize queries and reduce network data traffic.