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Abstract
The delivery of goods to numerous indoor stores poses significant safety risks, with heavy, high-stacked packages on delivery trolleys posing a potential hazard to passersby. This paper reports our experiences of developing and operating DeMo, a practical system for real-time monitoring of indoor delivery. DeMo employs sensors attached to trolleys, utilizing Inertial Measurement Unit (IMU) and Bluetooth Low Energy (BLE) readings to detect delivery violations, such as speeding and the use of non-designated delivery paths, and ensure accurate matching of each delivery to its intended destination store. Unlike typical indoor localization applications, DeMo addresses unique challenges, including sensor placement and the complex electromagnetic characteristics encountered in underground settings. Specifically, DeMo adapts the classical logarithmic radio signal model to facilitate fingerprint-free localization, significantly reducing deployment and maintenance costs. DeMo has been operating since May 2020, covering more than 200 shops with 74,537 deliveries (6193.2 km) across 12 subway stations in Hong Kong. DeMo's 4-year operation witnessed a significant violation rate drop, from 19% (May 2020) to 0.9% (Mar 2024).
© 2025 IEEE
© 2025 IEEE
| Original language | English |
|---|---|
| Number of pages | 18 |
| Journal | IEEE Transactions on Mobile Computing |
| DOIs | |
| Publication status | Online published - 29 Jul 2025 |
Funding
This study was supported by NSF China 62102332, CityU 21216822, CityU APRC 9610491, and CityU 11206023.
Research Keywords
- Sensor network
- mobile computing
- Bluetooth Low Energy
RGC Funding Information
- RGC-funded
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ECS: Enabling Interference Resilience for Low-Power Wide-Area Networks through a Cross-Layer Framework
YIN, Z. (Principal Investigator / Project Coordinator)
1/12/22 → …
Project: Research