Data collection middleware for crowdsourcing-based industrial sensing intelligence

Huo, Zhiqiang and Shu, Lei and Zhou, Zhangbing and Chen, Yuanfang and Li, Kailiang and Zeng, Junlin (2015) Data collection middleware for crowdsourcing-based industrial sensing intelligence. In: The 16th ACM International Workshop on Mobility and MiddleWare Management in HetNets, 22-25 June 2015, Hangzhou, China.

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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.

Keywords:middleware, CISI, Wireless Sensor Networks (WSNs), Wearable equipment, JCNotOpen
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:26408
Deposited On:22 Feb 2017 15:59

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