Name
Abstract | ||
|---|---|---|
Network Tomography is a statistical inverse problem which estimates the traffic intensities in the network for a dynamic environment using a probabilistic approach. Wireless Mesh Networks (WMNs) is very strongly perceived as the future of wireless networking technology. The WMNs have a stable topology. However, Mobile Clients (MCs) in general are very active between Mobile Routers (MRs) which is referred as Mobile WMN (MWMN). It is the normal tendency of the nodes in WMNs to select the path with minimum number of hops or the shortest possible path to carry out their transmissions but still it doesn't give full proof guarantee that the path being efficient and of good quality. In order to avoid this, we will require routing metric for choosing the most efficient path. Using Network Tomography which is a methodology for estimating the intensities of traffic for source-destination from link data to obtain end-to-end delay measurements with minimal or no co-operation from nodes is expected, we carry out NS2 simulations. These simulations gives the results of the proposed inverse problem approach that estimates the network performance parameter such as network delay and prefatory results for network tomography application in MWMN's in dynamic environment. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CCWC.2017.7868351 | 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC) |
Keywords | DocType | ISBN |
Network Tomography, Expectation - Maximization (EM) Routing, Wireless Mesh Network | Conference | 978-1-5090-4229-6 |
Citations | PageRank | References |
1 | 0.40 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rohan N. Pradhan | 1 | 1 | 0.40 |
| Mohammad Khan | 2 | 54 | 9.46 |
| Mais Nijim | 3 | 144 | 14.08 |
| Rajab Challoo | 4 | 33 | 5.93 |