YANG Rong, LI Bing, HU Yan. An Experimental Study for Intelligent Logistics: A Middleware Approach[J]. Chinese Journal of Electronics, 2016, 25(3): 561-569. doi: 10.1049/cje.2016.05.024
Citation: YANG Rong, LI Bing, HU Yan. An Experimental Study for Intelligent Logistics: A Middleware Approach[J]. Chinese Journal of Electronics, 2016, 25(3): 561-569. doi: 10.1049/cje.2016.05.024

An Experimental Study for Intelligent Logistics: A Middleware Approach

doi: 10.1049/cje.2016.05.024
Funds:  This work is supported by 973 Program of China (No.2014CB340401) and the National Natural Science Foundation of China (No.61273216, No.61202031, No.61272111).
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  • Corresponding author: LI Bing was born in Hunan Province. He received the B.E. degree from the Department of Computer Science at Huazhong University of Science and Technology (HUST) in 1990 and the M.S. degree from HUST in 1997. He received the Ph.D. degree at the Computer Science School at HUST in 2003. He has worked as a post doctor researcher in the State Key Laboratory of Software Engineering (SKLSE) & School of Computer from 2003 to 2005. He is a senior member of the China Computer Federation (CCF). He serves as member in three CCF technical Committee: open systems, software engineering and service computing. In recognition of his contributions to scientific and technological progress, he received "Second Class Award of the Chinese National Scientific and Technological Progress Award (2009)", "First Class Award of the HuBei Province Scientific and Technological Progress Award (2008, 2011)", "First Class Award of the Natural Sciences Award of Chinese Ministry of Education (2007)" (Email: bingli@whu.edu.cn)
  • Received Date: 2014-12-12
  • Rev Recd Date: 2015-04-07
  • Publish Date: 2016-05-10
  • Recent years have witnessed a rapid growth in using Internet of things (IoT), 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 IoT 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 IoT, 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.
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