With the rapid growth of the Internet of Things (IoT), an increasing number of wireless appliances is crowding the same unlicensed Industrial, Scientific,and Medical (ISM) frequency bands, causing severe cross-technology interference. The latter leads to loss of packets, increased delays, and to a reduced performance, especially for wireless IoT devices operating at low power.
We are interested in finding an efficient and accurate way to obtain such an understanding of the RF spectrum usage. As collecting information using energy detection (i.e., by sampling the received signal strength at high frequency) is highly energy expensive for battery-powered IoT devices, we are also looking for possible schemes that off-load this task to more powerful and unconstrained devices. For example, wall-powered Wi-Fi devices such as Raspberry Pis can get an understanding of the RF spectrum usage and communicate this info to the surrounding low-power IoT devices using cross technology communication or other means.