Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1540358.1540372 | Proceedings of the 2009 MobiHoc S3 workshop on MobiHoc S3 |
Keywords | DocType | Citations |
data collection,wireless network management,significant bandwidth saving,network monitoring,network fault,entire network,network monitoring data,wireless mesh networkmonitoring,wireless troubleshooting,network monitoring framework,multi-tiered framework,large wireless mesh network,meshmon dynamically,heirarchical,mesh network,real time,wireless network,wireless mesh network | Conference | 4 |
PageRank | References | Authors |
0.66 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramya Raghavendra | 1 | 284 | 23.15 |
| Prashanth Acharya | 2 | 6 | 1.11 |
| Elizabeth M. Belding-Royer | 3 | 8067 | 1043.73 |
| Kevin C. Almeroth | 4 | 2551 | 209.40 |