Dense Multi-Channel Sniffing in Large IoT Networks

In this article we deal with the issue of network traffic monitoring in large multi-channel wireless IoT networks. Assuming known link conditions on all radio channels, i.e. connectivity matrix defined through Packet Delivery Ratio frequencies and links between nodes, propose two methods for defining number positions sniffer devices, goal to maximize capture traffic. Method I is based probabilistic theory assumes brute-force search over optimal a given sniffers, or, percentage be captured as input parameter, method determines sniffers their locations. Due computational complexity matrix, complement II. II graph uses minimal each parameter position sniffers. We traces from an experimental testbed into examine compare both methods. Results show that outperforms traffic, deployed However, complements scenarios where there are due lower complexity.