Poster: Enabling IoT Application Programming in Natural Language with IoTPilot
Authors: 
Kaijie Gong, Wei Dong, Yingqi Peng, Hao Wang, Yi GaoAuthors Info & Claims
Pages 903 - 904
Abstract
In recent years, the swift expansion of Internet of Things (IoT) applications has been notable. However, developing a comprehensive IoT application is highly challenging for non-expert developers due to the highly diverse characteristics of embedded operating systems. The LLM-based approach shows promise in generating code from natural language, but its performance in IoT code generation is poor. This stems from the LLM's insufficient understanding of the embedded IoT code context, leading to missed and conflicting OS-specific APIs. In this paper, we present IoTPilot, a LLM-driven multi-agent IoT programming framework. We develop a clustering-based progressive RAG strategy and auto-calibrating self-debug mechanism to enhance the quality of generated IoT applications.
References
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Xinyun Chen, Maxwell Lin, Nathanael Schärli, and Denny Zhou. 2023. Teaching large language models to self-debug. arXiv:2304.05128 (2023).
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Wei Dong, Borui Li, Gaoyang Guan, Zhihao Cheng, Jiadong Zhang, and Yi Gao. 2020. TinyLink: A holistic system for rapid development of IoT applications. ACM Transactions on Sensor Networks (TOSN) 17, 1 (2020), 1--29.
[3]
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al. 2023. Metagpt: Meta programming for multi-agent collaborative framework. arXiv:2308.00352 (2023).
[4]
Md Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez. 2024. MapCoder: Multi-Agent Code Generation for Competitive Problem Solving. arXiv:2405.11403 (2024).
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Zhuosheng Zhang, Aston Zhang, Mu Li, and Alex Smola. 2022. Automatic chain of thought prompting in large language models. arXiv:2210.03493 (2022).
Index Terms
- Poster: Enabling IoT Application Programming in Natural Language with IoTPilot
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Information
Published In
November 2024
950 pages
ISBN:9798400706974
DOI:10.1145/3666025
- Chair:
- Jie Liu,
- Co-chairs:
- Yuanchao Shu,
- Jiming Chen,
- Program Chair:
- Yuan He,
- Program Co-chair:
- Rui Tan
Copyright © 2024 Copyright held by the owner/author(s).
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
Sponsors
- SIGARCH: ACM Special Interest Group on Computer Architecture
- SIGBED: ACM Special Interest Group on Embedded Systems
- SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 November 2024
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SenSys '24
SenSys '24: 22nd ACM Conference on Embedded Networked Sensor Systems
November 4 - 7, 2024
Hangzhou, China
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Overall Acceptance Rate 174 of 867 submissions, 20%
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