An Experimental Study for Intelligent Logistics：A Middleware Approach

Recent years have witnessed a rapid growth in using Internet of things（Io T）, which facilitates and simultaneously raises challenges for the intelligent logistics. The real-world devices can provide their functionality as Web services. Because of the dynamicity and heterogeneity of the target networ...

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Bibliographic Details
Published inChinese Journal of Electronics Vol. 25; no. 3; pp. 561 - 569
Main Authors Yang, Rong, Li, Bing, Hu, Yan
Format Journal Article
LanguageEnglish
Published Published by the IET on behalf of the CIE 01.05.2016
Subjects
component services monitoring
decentralized coordination mechanism
Exceptions
Intelligent logistics
Internet of Things
Internet of things (IoT)
IoT
logistics data processing
logistics service composition
middleware
Monitoring
system monitoring
Web services
Web服务
中间件
实验
智能
物流
现实世界
网络环境
面向服务架构
component services monitoring
Internet of Things
intelligent logistics
IoT
logistics data processing
logistics service composition
Web services
decentralized coordination mechanism
Internet of things (IoT)
Exceptions
system monitoring
Monitoring
middleware
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Summary:Recent years have witnessed a rapid growth in using Internet of things（Io T）, which facilitates and simultaneously raises challenges for the intelligent logistics. The real-world devices can provide their functionality as Web services. Because of the dynamicity and heterogeneity of the target networking environment, the services offered by Io T resources cannot be composed by simply extending existing Service oriented architecture（SOA） approaches. Logistics, which consists of a complex network of organizations and business processes, must be monitored in real time. Based on the proper understanding of the possible exceptions, we propose a middleware approach to solve the logistics service composition in Io T, where a decentralized coordination mechanism is used to monitor the component services with few resources efficiently. Through a set of experiments, the effectiveness and robustness of our approach are evaluated.
Bibliography:Recent years have witnessed a rapid growth in using Internet of things（Io T）, which facilitates and simultaneously raises challenges for the intelligent logistics. The real-world devices can provide their functionality as Web services. Because of the dynamicity and heterogeneity of the target networking environment, the services offered by Io T resources cannot be composed by simply extending existing Service oriented architecture（SOA） approaches. Logistics, which consists of a complex network of organizations and business processes, must be monitored in real time. Based on the proper understanding of the possible exceptions, we propose a middleware approach to solve the logistics service composition in Io T, where a decentralized coordination mechanism is used to monitor the component services with few resources efficiently. Through a set of experiments, the effectiveness and robustness of our approach are evaluated.
Internet of things（IoT） Intelligent logistics Exceptions Monitoring
ISSN:1022-4653
2075-5597
DOI:10.1049/cje.2016.05.024