Large language models (LLMs), exemplified by OpenAI ChatGPT and Google Bard, have transformed the way in which we interact with cyber technologies. On this paper, we examine the potential for connecting LLM with wireless sensor networks (WSN). A successful design won't only extend LLM’s knowledge panorama to the physical world but in addition revolutionize human interplay with WSN. To the end, itagpro device we present ChatTracer, an LLM-powered real-time Bluetooth system monitoring system. ChatTracer comprises three key components: an array of Bluetooth sniffing nodes, a database, and a wonderful-tuned LLM. ChatTracer was designed based mostly on our experimental observation that commercial Apple/Android units at all times broadcast tons of of BLE packets per minute even in their idle status. We have built a prototype of ChatTracer with four sniffing nodes. Experimental outcomes show that ChatTracer not solely outperforms existing localization approaches, but also offers an intelligent interface for consumer interaction. The emergence of massive language fashions (LLM) has ushered in a transformative era, revolutionizing the way in which we interact with expertise and harnessing the power of natural language processing.

To date, to the best of our information, LLM has not yet been mixed with wireless sensor networks (WSN) (Hou et al., 2023