| Title | Joint Design of WiFi Mesh Network for Video Surveillance Application |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Wu, Jie, Li, Hongchun, Xu, Yi, Tian, Jun |
| Conference Name | Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5963-4 |
| Keywords | composability, genetic algorithm, Metrics, network design, performance evaluation, pubcrawl, resilience, wifi mesh networks, wireless mesh networks |
| Abstract | The ability to transmit high volumes of data over a long distance makes WiFi mesh networks an ideal transmission solution for remote video surveillance. Instead of independently manipulating the node deployment, channel and interface assignment, and routing to improve the network performance, we propose a joint network design using multi-objective genetic algorithm to take into account the interplay of them. Moreover, we found a performance evaluation method based on the transmission capability of the WiFi mesh networks for the first time. The good agreement of our obtained multiple optimized solutions to the extensive simulation results by NS-3 demonstrates the effectiveness of our design. |
| URL | http://doi.acm.org/10.1145/3267129.3267130 |
| DOI | 10.1145/3267129.3267130 |
| Citation Key | wu_joint_2018 |
Joint Design of WiFi Mesh Network for Video Surveillance Application