Large language models (LLMs), exemplified by OpenAI ChatGPT and Google Bard, have remodeled the way we work together with cyber applied sciences. In this paper, we examine the possibility of connecting LLM with wireless sensor networks (WSN). A successful design is not going to solely extend LLM’s data panorama to the bodily world but also revolutionize human interplay with WSN. To the top, we present ChatTracer, iTagPro locator an LLM-powered real-time Bluetooth device monitoring system. ChatTracer comprises three key components: an array of Bluetooth sniffing nodes, a database, and a wonderful-tuned LLM. ChatTracer was designed based on our experimental observation that commercial Apple/Android units all the time broadcast tons of of BLE packets per minute even in their idle standing. We have built a prototype of ChatTracer with four sniffing nodes. Experimental results show that ChatTracer not only outperforms existing localization approaches, but also offers an clever interface for person interaction. The emergence of large language fashions (LLM) has ushered in a transformative era, revolutionizing the way in which we work together with expertise and harnessing the power of pure language processing.

Up to now, ItagPro to the best of our data, LLM has not yet been combined with wireless sensor networks (WSN) (Hou et al., 2023; Fan et al., 2023; Awais et al., 2023; Liu et al., 2023; Naveed et al., 2023; Zhao et al., 2023; Hadi et al., 2023; Guo et al., 2023; Raiaan et al., 2023; Demszky et al., 2023; Thapa and Adhikari, iTagPro smart tracker 2023). Connecting these two worlds is interesting for 2 reasons. First, from the LLM’s perspective, connecting with WSN will prolong LLM’s capabilities from producing data-primarily based information to offering fresh, real-time sensory info of our physical world. Second, from the WSN’s perspective, the usage of LLM will remodel the interaction between humans and WSN, making the sensory information more accessible and easier to understand for finish customers. In this paper, iTagPro portable we present the first-of-its-form research on connecting LLM with WSN, with the goal of understanding the potential of LLM in the processing of sensory data from WSN and facilitating human interaction with WSN.

Specifically, we introduce ChatTracer, an LLM-powered real-time Bluetooth gadget monitoring system. ChatTracer has an array of radio sniffing nodes deployed in the area of interest, which keep listening to the radio alerts emitted by the Bluetooth gadgets in the proximity. ChatTracer processes its acquired Bluetooth packets to extract their physical and payload features utilizing domain data. The extracted per-packet features are stored in a database and fed into an LLM (Mistral-7B (Jiang et al., 2023)) to generate the human-like textual response to the queries from customers. Our measurements show that, even in the powered-off standing, the iPhone 15 Pro Max still broadcasts about 50 BLE packets per minute. We found: (i) all Android gadgets broadcast at least a hundred and twenty BLE packets per minute. By decoding their BLE packets, we can receive their vendor info. In comparison with Android devices, Apple units transmit BLE packets extra aggressively at a higher power. Most Apple gadgets transmit 300-1500 packets per minute.

Additionally, most Apple devices have unique codes (Apple continuity) in their BLE packets, making it attainable for ChatTracer to acquire their standing and exercise info. These findings affirm the feasibility of utilizing ambient Bluetooth indicators for human tracking, and lay the inspiration for itagpro locator ChatTracer. To design and implement ChatTracer, we face two challenges. The first problem lies in grouping the info packets from individual Bluetooth devices. ChatTracer’s radio sniffing nodes will continuously receive the information packets from all Bluetooth gadgets in the realm of curiosity. One Bluetooth device could use completely different promoting addresses to send their BLE packets and randomize their promoting addresses over time (e.g., iTagPro USA every quarter-hour). It is crucial for ChatTracer to group the information packets from the identical Bluetooth gadget. Doing so won't only permit ChatTracer to infer the full variety of Bluetooth units, nevertheless it will even improve localization accuracy by growing the number of BLE packets for device location inference.