Integrating LLMs into Smart Home Architecture: Design, Implementation, and Experimental Insights
- Title
- Integrating LLMs into Smart Home Architecture: Design, Implementation, and Experimental Insights
- Creator
- Sadasivam, Boobalakrishnan; Rajamohan, Kavitha
- Description
- Smart home systems are a key application of the Internet of Things (IoT) paradigm. These devices are either directly or indirectly connected to a network in order to perceive actions based on user willingness or sensing. As Information and Communication Technology (ICT) advances, Large Language Models (LLMs) are growing increasingly potent. Agents with LLM capabilities could be very supportive for smart home systems because of their natural language comprehension. In this paper, we introduce an LLM-powered smart home agent with real-time connectivity to smart home devices. This proposal has been experimented with and evaluated with typical smart home use cases. This experimental architecture illustrates a realtime scenario of a standard smart home, where sensors, lights, and switches are interconnected in a multi-tiered environment. The sensor, gateway, and switch modules are connected to the smart home edge server via a Web of Things (WoT) interface. The experiment has been conducted with various types of smart home use case prompts, including status requests, control requests, automation requests, and reasoning requests. The outcome of the experiment indicates that the addition of LLM to smart homes excels in natural conversational patterns compared to keywordbased agents. The prompt response time, which is unsuitable for time-sensitive tasks like anomaly detection, is a drawback, and edge LLMs could be a solution. 2025 IEEE.
- Source
- 5th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Agents; Large Language Model; Sensors; Smart Home; Web of Things
- Coverage
- Sadasivam B., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Rajamohan K., Christ (Deemed to be University), Department of Computer Science, Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833155664-8;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sadasivam, Boobalakrishnan; Rajamohan, Kavitha, “Integrating LLMs into Smart Home Architecture: Design, Implementation, and Experimental Insights,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26062.
