Steiner tree rectilinear model for data aggregation and sensor node query processing in WSN Bharathi S. Antony Alice Jeya*, Dr. Alagarsamy K.** *Assistant Professor, Department of Computer Applications, Sardar Raja College of Engineering, Tirunelveli, Tamilnadu, India **Associate Professor, Department of Computer Applications, School of Information Technology, M.K University, Madurai, Tamilnadu, India Online published on 29 November, 2014. Abstract A huge number of sensor nodes are organized in the arbitrary position in wireless sensor network for better utilization of energy while performing the communication. Query Result optimization through various algorithms report for lesser computational complexity and energy utilization restrictions on sensor nodes. Concealed Data Aggregationfor Multiple Applications (CDAMA) scheme offers the application explicit data fromaggregated ciphertexts. The collected data carries hugeenergy cost in CDAMAscheme with intermediate nodes and the secure data aggregation is not relied on the sensor network. Real-time Data Management (RDM) in wireless sensor network process and optimize the real time queries with the real world application but the query processing with data aggregation result does not offer with minimal energy consumption. So in the upcoming work plan, Integration approach is proposed to deal with better energy utilization by combining the data aggregation and query processing work. Steiner Tree with Rectilinear Distance (STRD) method is proposed for integrating the data aggregation and query processing work with the better energy utilization. Primarily data aggregation process carried out in the STRD method using the likelihood function. The likelihood function uses the rectilinear distance formulation to aggregate the similar data with energy efficiency. The rectilinear distance based aggregated data are used in the second part of the work to perform the query processing with the optimal query result in sensor network. The Steiner Tree with the heuristic query processing ensures the optimal query result with approximately 5% minimal energy consumption in wireless sensor network. STRD method performs the simulation work on the parametric factors such as average energy utilization per sensor node, tree construction efficiency, query processing rate, query response time, and precision rate. Top |