Our simulation shows that, the two query technologies can suitable for the local query discovery application with significant energy saving. Second, for global discovery query, in this paper, we introduced LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster base stations and the data aggregation are proposed for sensor networks. We make the network to two levels and use divide clusters technology to global discovery query. In this paper, we utilized the theory of comb needle defined a new algorithm of generate the cluster nodes. By simulation the new lead to an optimal total energy cost, and raise the ratio of communication and prolong the life of the network for the comb-needle cluster query algorithms.Our result shows that the properly constraint lead into the comb needle technology can satisfied the local query and global query in the WSN. The relevant work of the thesis has some reference values to improve the query technology in WSN.
