@article{M39B59CD6,
title = "LTRE: Lightweight Traffic Redundancy Elimination in Software-Defined Wireless Mesh Networks",
journal = "Journal of KIISE, JOK",
year = "2017",
issn = "2383-630X",
doi = "10.5626/JOK.2017.44.9.976",
author = "Gwangwoo Park,Wontae Kim,Joonwoo Kim,Sangheon Pack",
keywords = "Wireless mesh network (WMN),software-defined networking (SDN),lightweight traffic redundancy elimination (LTRE),machine learning,source routing,cache management",
abstract = "Wireless mesh network (WMN) is a promising technology for building a cost-effective and easily-deployed wireless networking infrastructure. To efficiently utilize limited radio resources in WMNs, packet transmissions (particularly, redundant packet transmissions) should be carefully managed. We therefore propose a lightweight traffic redundancy elimination (LTRE) scheme to reduce redundant packet transmissions in software-defined wireless mesh networks (SD-WMNs). In LTRE, the controller determines the optimal path of each packet to maximize the amount of traffic reduction. In addition, LTRE employs three novel techniques: 1) machine learning (ML)-based information request, 2) ID-based source routing, and 3) popularity-aware cache update. Simulation results show that LTRE can significantly reduce the traffic overhead by 18.34% to 48.89%."
}