Title | Safe Traffic Adaptation Model in Wireless Mesh Networks |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Khoukhi, L., Khatoun, R. |
Conference Name | 2020 4th Cyber Security in Networking Conference (CSNet) |
Keywords | composability, control systems, delays, explicit rate messages, future queue state, fuzzy framework, Fuzzy logic, fuzzy set theory, Internet, Linguistics, Metrics, Monitoring, network traffic load, performance efficiency, pubcrawl, queue length, queueing theory, Real-time Systems, Resiliency, safe traffic adaptation, safe traffic adaptation model, self-configured technology, self-organized technology, telecommunication traffic, Wireless Mesh Network Security, wireless mesh networks |
Abstract | Wireless mesh networks (WMNs) are dynamically self-organized and self-configured technology ensuring efficient connection to Internet. Such networks suffer from many issues, like lack of performance efficiency when huge amount of traffic are injected inside the networks. To deal with such issues, we propose in this paper an adapted fuzzy framework; by monitoring the rate of change in queue length in addition to the current length of the queue, we are able to provide a measure of future queue state. Furthermore, by using explicit rate messages we can make node sources more responsive to unexpected changes in the network traffic load. The simulation results show the efficiency of the proposed model. |
DOI | 10.1109/CSNet50428.2020.9265456 |
Citation Key | khoukhi_safe_2020 |