MeshMon: a multi-tiered framework for wireless mesh network monitoring Export

@inproceedings{raghavendra:meshmon, abstract = {Monitoring and troubleshooting a large wireless mesh network presents several challenges. Diagnosis of problems related to wireless access in these networks requires a comprehensive set of metrics and network monitoring data. Collection and offloading of a large amount of data is infeasible in a bandwidth constrained mesh network. Additionally, the processing required to analyze data from the entire network restricts the scalability of the system and impacts the ability to perform real-time fault diagnosis. To this end, we propose MeshMon, a network monitoring framework that includes a multi-tiered method of data collection. MeshMon dynamically controls the granularity of data collection based on observed events in the network, thereby achieving significant bandwidth savings and enabling real-time automated management. Our evaluation of MeshMon on a real testbed shows that we can diagnose a majority (87\%) of network faults with a 66\% savings in bandwidth required for network monitoring.}, address = {New York, NY, USA}, author = {Raghavendra, Ramya and Acharya, Prashanth and Belding, Elizabeth M. and Almeroth, Kevin C.}, booktitle = {Proceedings of the 2009 MobiHoc S3 workshop}, citeulike-article-id = {5134278}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1540358.1540372}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1540358.1540372}, doi = {10.1145/1540358.1540372}, isbn = {978-1-60558-521-5}, keywords = {mesh, network-measurement, wireless}, location = {New Orleans, Louisiana, USA}, month = {May}, pages = {45--48}, posted-at = {2009-07-13 09:28:53}, priority = {2}, publisher = {ACM}, title = {MeshMon: a multi-tiered framework for wireless mesh network monitoring}, url = {http://dx.doi.org/10.1145/1540358.1540372}, year = {2009} }

TY - CONF ID - raghavendra:meshmon L3 - citeulike-article-id:5134278 N2 - Monitoring and troubleshooting a large wireless mesh network presents several challenges. Diagnosis of problems related to wireless access in these networks requires a comprehensive set of metrics and network monitoring data. Collection and offloading of a large amount of data is infeasible in a bandwidth constrained mesh network. Additionally, the processing required to analyze data from the entire network restricts the scalability of the system and impacts the ability to perform real-time fault diagnosis. To this end, we propose MeshMon, a network monitoring framework that includes a multi-tiered method of data collection. MeshMon dynamically controls the granularity of data collection based on observed events in the network, thereby achieving significant bandwidth savings and enabling real-time automated management. Our evaluation of MeshMon on a real testbed shows that we can diagnose a majority (87%) of network faults with a 66% savings in bandwidth required for network monitoring. CY - New Orleans, Louisiana, USA SN - 978-1-60558-521-5 AD - New York, NY, USA EP - 48 TI - MeshMon: a multi-tiered framework for wireless mesh network monitoring PB - ACM T2 - Proceedings of the 2009 MobiHoc S3 workshop SP - 45 KW - mesh KW - network-measurement KW - wireless AU - Raghavendra, Ramya AU - Acharya, Prashanth AU - Belding, Elizabeth AU - Almeroth, Kevin PY - 2009/05// UR - http://dx.doi.org/10.1145/1540358.1540372 ER -