Title :
Algorithms for Energy-Efficient Query-Reduction in Wireless Sensor Networks
Author :
Bhattacharyya, Mitun ; Kumar, Ashok ; Bayoumi, Magdy
Author_Institution :
Univ. of Louisiana, Lafayette
Abstract :
A wide area sensor system is a complex, dynamic, resource constrained collection of sensing devices. Typically, queries are sent out by master node(s) and query-satisfying data are aggregated at optimized points in a sensor network and sent back to master node(s). If patterns of queries sent out by master node(s) are studied, replies can be sent back based on patterns observed. This would be especially beneficial in saving energy for large heterogeneous sensor network whose nodes´ location is partially unknown and could change. The contribution of this paper is to propose two simple learning algorithms (block based, incremental learning) to learn about the pattern of queries and also to use an associated sensor and data (ASD). Initial results show promising energy savings with this scheme when compared to flooding.
Keywords :
learning (artificial intelligence); query processing; wireless sensor networks; block based learning; energy-efficient query-reduction; incremental learning; large heterogeneous sensor network; query-satisfying data; wireless sensor networks; Base stations; Energy efficiency; Filters; Floods; Humidity; Query processing; Sensor systems; Temperature sensors; Variable speed drives; Wireless sensor networks;
Conference_Titel :
Computer Architecture for Machine Perception and Sensing, 2006. CAMP 2006. International Workshop on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0685-2
Electronic_ISBN :
978-1-4244-0686-9
DOI :
10.1109/CAMP.2007.4350360