Loading

Energy Efficient Query Optimization in Wireless Sensor Networks
Ankita Bharaktya1, S. G. Reddy2
1Ankita Bharaktya, Department Of Computer Science, Mewar University, Chittorgarh, India.
2S. G. Reddy, Department Of Computer Science, CMR Engineering College, Hyderabad, India.
Manuscript received on July 17, 2012. | Revised Manuscript received on August 25, 2012. | Manuscript published on August 30, 2012. | PP: 99-103 | Volume-1 Issue-6, August 2012.  | Retrieval Number: F0641081612/2012©BEIESP

Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: A wireless sensor network (WSN) is a wireless network consisting of distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. A WSN Consists of ten to thousand of sensor nodes that communicate through wireless channels for information sharing and cooperative processing. In this our main focus is on base station energy-efficient queries optimization. Different from existing query optimization techniques that consider only query plans for extracting data from sensors at individual nodes, our approach takes into account both of the sensing and communication cost in query plans. When a new query is submitted to the base station, we check whether the new query can be evaluated using the result of currently running queries. If it is possible then we rewrites a new query using currently running queries at the base station without injecting it into the sensor network. Thus optimizing the query processing in Wireless Sensor Network. Simulation results show queries transmitted in merging, rewriting query plans and shows the query plan chosen in our approach consumes significantly less energy than an approach that optimizes on sensing cost only. 
Keywords: Energy Efficiency, Query Optimization, Query Sharing, Sensor Networks, Wireless Sensor Networks.