TY - GEN
T1 - Distributed data stream classification for wireless sensor networks
AU - Gaber, Mohamed Medhat
AU - Shiddiqi, Ary Mazharuddin
PY - 2010
Y1 - 2010
N2 - It has been established experimentally that in-network processing in wireless sensor networks is the acceptable mode of operation. However, this solution is faced by resource constraints of the sensor nodes, especially when running traditional data mining techniques that tend to consume the resources rapidly. On the other hand, data stream mining algorithms still fall short with the limited computational capabilities of the nodes. These algorithms need real-time adaptation to availability of resources. Distributed processing is also essential to produce a global model of the data streams emanated from the network. In this paper, we propose a novel distributed data stream classification technique that is able to adapt to availability of resources in wireless sensor networks.
AB - It has been established experimentally that in-network processing in wireless sensor networks is the acceptable mode of operation. However, this solution is faced by resource constraints of the sensor nodes, especially when running traditional data mining techniques that tend to consume the resources rapidly. On the other hand, data stream mining algorithms still fall short with the limited computational capabilities of the nodes. These algorithms need real-time adaptation to availability of resources. Distributed processing is also essential to produce a global model of the data streams emanated from the network. In this paper, we propose a novel distributed data stream classification technique that is able to adapt to availability of resources in wireless sensor networks.
UR - http://www.scopus.com/inward/record.url?scp=77954743457&partnerID=8YFLogxK
U2 - 10.1145/1774088.1774439
DO - 10.1145/1774088.1774439
M3 - Conference contribution
AN - SCOPUS:77954743457
SN - 9781605586380
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 1629
EP - 1630
BT - APPLIED COMPUTING 2010 - The 25th Annual ACM Symposium on Applied Computing
T2 - 25th Annual ACM Symposium on Applied Computing, SAC 2010
Y2 - 22 March 2010 through 26 March 2010
ER -