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Data Collection Middleware for Crowdsourcing-based Industrial Sensing Intelligence
| Content Provider | ACM Digital Library |
|---|---|
| Author | Huo, Zhiqiang Shu, Lei Zhou, Zhangbing Zeng, Junlin Li, Kailiang Chen, Yuanfang |
| Abstract | In this paper, crowdsourcing-based industrial sensing intelligence (CISI) is proposed as a collaborative approach for large-scale monitoring in modern industrial plants, targeting at improved productivity and increased workplace safety. The proposed approach focuses on middleware, which considers both application and industry-grade requirements. Through embedding crowdsourcing knowledge at different levels and supporting QoS services, systems based on CISI can perform effective work assignment and flexible configuration of wireless sensor networks (WSNs). This paper presents a middleware that addresses these characteristics, which is an extension of GSN, our earlier work on middleware for rapid deployment and integration of heterogeneous sensor networks. Wireless sensor devices and wearable equipment are employed as modeling tools for the middleware implementation. |
| Starting Page | 3 |
| Ending Page | 8 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450335140 |
| DOI | 10.1145/2757757.2757758 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-06-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Wearable equipment Wsns Cisi Middleware |
| Content Type | Text |
| Resource Type | Article |
