TY - GEN
T1 - Deployment alternatives for performance debugging in wireless sensor networks
AU - O'Donovan, Tony
AU - Sreenan, Cormac J.
PY - 2011
Y1 - 2011
N2 - A common approach for performance monitoring and diagnosis in wireless sensor networks (WSNs) is to send meta-data to a sink node to process. WSN radio constraints limit the amount of this meta-data that can be sent. Logging it to the node's onboard storage can also aid in long-term performance debugging. Using the stored data it is possible for nodes to do statistical analysis for the detection of performance anomalies in the network, rather than at the sink. In this paper we compare the cost and accuracy of performing anomaly detection in the network and at the sink.
AB - A common approach for performance monitoring and diagnosis in wireless sensor networks (WSNs) is to send meta-data to a sink node to process. WSN radio constraints limit the amount of this meta-data that can be sent. Logging it to the node's onboard storage can also aid in long-term performance debugging. Using the stored data it is possible for nodes to do statistical analysis for the detection of performance anomalies in the network, rather than at the sink. In this paper we compare the cost and accuracy of performing anomaly detection in the network and at the sink.
UR - https://www.scopus.com/pages/publications/84856906863
U2 - 10.1109/ICSENS.2011.6127244
DO - 10.1109/ICSENS.2011.6127244
M3 - Conference proceeding
AN - SCOPUS:84856906863
SN - 9781424492886
T3 - Proceedings of IEEE Sensors
SP - 191
EP - 194
BT - IEEE Sensors 2011 Conference, SENSORS 2011
T2 - 10th IEEE SENSORS Conference 2011, SENSORS 2011
Y2 - 28 October 2011 through 31 October 2011
ER -