Exploiting Affinity Propagation for Energy-Efficient Information Discovery in Sensor Networks

Robin Doss, Gang Li
2008 IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference  
Wireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. Emerging WSN applications require dissemination of information to interested clients within the network requiring support for differing traffic patterns. Further, in-network query processing capabilities are required for autonomic information discovery. In this paper, we formulate the information discovery problem as a load-balancing problem, with the combined aim being to maximize
more » ... ork lifetime and minimize query processing delay. We propose novel methods for data dissemination, information discovery and data aggregation that are designed to provide significant QoS benefits. We make use of affinity propagation to group "similar" sensors and have developed efficient mechanisms that can resolve both ALL-type and ANY-type queries in-network with improved energy-efficiency and query resolution time. Simulation results prove the proposed method(s) of information discovery offer significant QoS benefits for ALL-type and ANYtype queries in comparison to previous approaches. This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE "GLOBECOM" 2008 proceedings. 978-1-4244-2324-8/08/$25.00
doi:10.1109/glocom.2008.ecp.147 dblp:conf/globecom/DossL08 fatcat:rvdfphirundqnc2yf7qxa73vzu