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Abstract
Delivering goods to many indoor stores poses significant safety issues, as heavy, high-stacked packages carried on delivery trolleys may fall and hurt passersby. This paper reports our experiences of developing and operating DeMo, a practical system for real-time monitoring of indoor delivery. DeMo attaches sensors to trolleys and analyzes the Inertial Measurement Unit (IMU) and Bluetooth Low Energy (BLE) readings to detect delivery violations such as speeding and using non-designated delivery paths. Differing from typical indoor localization applications, DeMo overcomes unique challenges such as unique sensor placement and complex electromagnetic characteristics underground. In particular, DeMo adapts the classical logarithmic radio signal model to support fingerprint-free localization, drastically lowering the deployment and maintenance cost. DeMo has been operating since May 2020, covering more than 200 shops with 42,248 deliveries (3521.4 km) across 12 subway stations in Hong Kong. DeMo’s 3-year operation witnessed a significant violation rate drop, from 19% (May 2020) to 2.7% (Mar 2023).
Original language | English |
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Title of host publication | Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI ’24) |
Publisher | USENIX Association |
Pages | 1883-1900 |
ISBN (Print) | 978-1-939133-39-7 |
Publication status | Published - Apr 2024 |
Event | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI ’24) - Santa Clara, United States Duration: 16 Apr 2024 → 18 Apr 2024 https://www.usenix.org/conference/nsdi24 https://www.usenix.org/conference/nsdi24/technical-sessions |
Conference
Conference | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI ’24) |
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Country/Territory | United States |
City | Santa Clara |
Period | 16/04/24 → 18/04/24 |
Internet address |
Bibliographical note
Research Unit(s) information for this publication is provided by the author(s) concerned.Funding
We thank our shepherd and the anonymous reviewers for their insightful comments. This work was substantially supported by NSF China 62102332, CityU 21216822, CityU APRC 9610491, and CityU 11206023.
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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