TY - GEN
T1 - CME
T2 - 28th International Conference on Distributed Computing Systems, ICDCS 2008
AU - Xu, Yingqi
AU - Lee, Wang Chien
AU - Mitchell, Gail
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51849129123&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849129123&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2008.64
DO - 10.1109/ICDCS.2008.64
M3 - Conference contribution
AN - SCOPUS:51849129123
SN - 9780769531724
T3 - Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008
SP - 133
EP - 140
BT - Proceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008
Y2 - 17 July 2008 through 20 July 2008
ER -