Title :
CME: A Contour Mapping Engine in Wireless Sensor Networks
Author :
Xu, Yingqi ; Lee, Wang-Chien ; Mitchell, Gail
Author_Institution :
Pennsylvania State Univ., University Park, PA
Abstract :
Contour maps, showing topological distribution of extracted features, are crucial for many applications. Building a dynamic contour map in a wireless sensor network is a challenging task due to the constrained network resources. In this paper, we present the design of a contour mapping engine (CME) in wireless sensor networks. Our design incorporates in-network processing based on binary classification to reduce the total number of active nodes. The underlying network architecture is analyzed to derive an optimal configuration. We show, by extensive simulations, the superiority of CME over the state-of-the-art contour mapping techniques.
Keywords :
cartography; feature extraction; topology; wireless sensor networks; binary classification; constrained network resources; contour mapping engine; contour mapping techniques; contour maps; feature extraction; network architecture; optimal configuration; topological distribution; wireless sensor networks; Buildings; Distributed computing; Energy consumption; Engines; Feature extraction; Monitoring; Process design; Sensor phenomena and characterization; Temperature sensors; Wireless sensor networks; Contour maps; wireless sensor networks;
Conference_Titel :
Distributed Computing Systems, 2008. ICDCS '08. The 28th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3172-4
Electronic_ISBN :
1063-6927
DOI :
10.1109/ICDCS.2008.64