Abstract
To support the increasing number of wireless devices for Internet of Things (IoT), wireless LAN (WLAN) is envisioned to provide both wide spatial coverage and sufficient spectrum resources. Multi-band WLAN allows flexible use of multiple frequency bands. To efficiently monitor wireless resources in IoT-enabled multi-band WLAN, station (STA) based distributed-sensing system is considered. Distributed sensing alleviates sensing constraints at access points (APs) and expands sensing coverage area. This paper addresses the problem of how to efficiently collect the necessary information of wireless resources. We propose a scalable distributed-sensing scheme to efficiently collect the wireless resource information such as channel occupancy ratio from STAs. A key feature of the proposed approach is that a prioritized reporting process is employed at each STA for collection of sensing results with high scalability. The reporting process is automatically managed based on report time, sensing result as well as the reports from other STAs. Evaluation results show that the proposed approach keeps a small report number and results in a high scalability with the large number of STAs.
Published Version
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