Energy-Efficient In-Network Density Query Processing in Wireless Sensor Networks

In recent, many studies on applications that monitor the information of mobile objects in wireless sensor network have been done. A density query is one of query types for object monitoring applications. A density query finds out an area spread by density that a target object requires in the whole sensing field. In this paper, we propose a novel homogeneous network-based in-network density query processing scheme that significantly reduces query processing costs and assures high accuracy. This scheme is based on the possibility-based expected region selection technique and the result compensation technique to enhance the accuracy of the density query and to minimize energy consumption. To show the superiority of our proposed scheme, we compare it with the existing density query processing scheme. As a result, our proposed scheme reduces energy consumption for query processing by about 97 % compared to the existing scheme. In addition, the proposed scheme guarantees its query result and higher accuracy of the query result than the existing scheme.