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Data Collection Middleware for Crowdsourcing-based Industrial Sensing Intelligence

Published: 22 June 2015 Publication History

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.

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  • (2020)PSSCC: Provably secure communication framework for crowdsourced industrial Internet of Things environmentsSoftware: Practice and Experience10.1002/spe.282652:3(744-755)Online publication date: 31-Mar-2020
  • (2018)Challenges and Research Issues of Data Management in IoT for Large-Scale Petrochemical PlantsIEEE Systems Journal10.1109/JSYST.2017.270026812:3(2509-2523)Online publication date: Sep-2018
  • (2017)Trust-based time series data model for mobile crowdsensing2017 IEEE International Conference on Communications (ICC)10.1109/ICC.2017.7997417(1-6)Online publication date: May-2017
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cover image ACM Conferences
MobiMWareHN '15: Proceedings of the ACM International Workshop on Mobility and MiddleWare Management in HetNets
June 2015
22 pages
ISBN:9781450335140
DOI:10.1145/2757757
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 June 2015

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Author Tags

  1. cisi
  2. middleware
  3. wearable equipment
  4. wsns

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  • Research-article

Funding Sources

  • 2013 top Level Talents Project in Sailing Plan of Guangdong Province, National Natural Science Foundation of China
  • 2014 Guangdong Province Outstanding Young Professor Project
  • Guangdong High-Tech Development
  • 2013 Special Fund of Guangdong Higher School Talent Recruitment, Educational Commission of Guangdong Province, China

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Cited By

View all
  • (2020)PSSCC: Provably secure communication framework for crowdsourced industrial Internet of Things environmentsSoftware: Practice and Experience10.1002/spe.282652:3(744-755)Online publication date: 31-Mar-2020
  • (2018)Challenges and Research Issues of Data Management in IoT for Large-Scale Petrochemical PlantsIEEE Systems Journal10.1109/JSYST.2017.270026812:3(2509-2523)Online publication date: Sep-2018
  • (2017)Trust-based time series data model for mobile crowdsensing2017 IEEE International Conference on Communications (ICC)10.1109/ICC.2017.7997417(1-6)Online publication date: May-2017
  • (2017)Pedestrian dead reckoning trajectory matching method for radio map crowdsourcing building in WiFi indoor positioning system2017 IEEE International Conference on Communications (ICC)10.1109/ICC.2017.7996457(1-6)Online publication date: May-2017
  • (2017)Compressive sensing based data quality improvement for crowd-sensing applicationsJournal of Network and Computer Applications10.1016/j.jnca.2016.10.00477:C(123-134)Online publication date: 1-Jan-2017
  • (2016)Cloud-based Data-intensive Framework towards fault diagnosis in large-scale petrochemical plants2016 International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2016.7577209(1080-1085)Online publication date: Sep-2016

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