IODetector

Author:

Li Mo1,Zhou Pengfei1,Zheng Yuanqing1,Li Zhenjiang1,Shen Guobin2

Affiliation:

1. Nanyang Technological University, Singapore

2. Microsoft Research Asia, Beijing, P. R. China

Abstract

The location and context switching, especially the indoor/outdoor switching, provides essential and primitive information for upper-layer mobile applications. In this article, we present IODetector: a lightweight sensing service that runs on the mobile phone and detects the indoor/outdoor environment in a fast, accurate, and efficient manner. Constrained by the energy budget, IODetector primarily leverages lightweight sensing resources, such as light sensors, magnetism sensors, and cell tower signals. For universal applicability, IODetector assumes no prior knowledge (e.g., fingerprints) of the environment and uses only on-board sensors common to mainstream mobile phones. Being a generic and lightweight service component, IODetector greatly benefits many location-based and context-aware applications. We prototype the IODetector on Android mobile phones and evaluate the system comprehensively with data collected from 34 traces that include 133 different places during a 6-week period, employing different phone models. We further perform a case study where we make use of IODetector to instantly infer the GPS availability and localization accuracy in different indoor/outdoor environments.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Combining Context Connectivity and Behavior Association to Develop an Indoor/Outdoor Context Detection Model With Smartphone Multisensor Fusion;IEEE Internet of Things Journal;2024-01-15

2. Machine Learning-Based Integrated Wireless Sensing and Positioning for Cellular Network;IEEE Transactions on Instrumentation and Measurement;2023

3. TransFloor;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-12-21

4. Environment Perception Based Seamless Indoor and Outdoor Positioning System of Smartphone;IEEE Sensors Journal;2022-09-01

5. ASTRO: Reducing COVID-19 Exposure through Contact Prediction and Avoidance;ACM Transactions on Spatial Algorithms and Systems;2022-06-30

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