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https://doi.org/10.1504/EJIE.2018.090622
Title: | Minimising tardiness in hybrid two-stage batch scheduling problem in cyber-physical systems | Authors: | Liu, Changchun Wang, Qiang Xiang, Xi Zheng, Li |
Keywords: | Science & Technology Technology Engineering, Industrial Operations Research & Management Science Engineering cyber-physical systems CPSs tardiness dynamic programming variable neighbourhood search algorithm WIRELESS SENSOR NETWORKS TIME DISTRIBUTED SYSTEMS DATA AGGREGATION PROCESSING TIMES SETUP TIMES ONE MACHINE NP-HARD ASSIGNMENT ALGORITHM TRANSPORTATION |
Issue Date: | 1-Jan-2018 | Publisher: | INDERSCIENCE ENTERPRISES LTD | Citation: | Liu, Changchun, Wang, Qiang, Xiang, Xi, Zheng, Li (2018-01-01). Minimising tardiness in hybrid two-stage batch scheduling problem in cyber-physical systems. EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING 12 (2) : 276-306. ScholarBank@NUS Repository. https://doi.org/10.1504/EJIE.2018.090622 | Abstract: | The real time characteristic is a critical property of cyber-physical systems and the transmission tardiness introduced by the computer system can lead to a significant performance degradation. In order to improve the real-time performance, data aggregation is always employed during data transmission. This paper studies a hybrid two-stage batch scheduling problem in which a set of receiving sensors are assigned to collect the data at the first stage and an aggregation sensor is employed to receive the data from receiving sensors, fuse and transmit the data to the destination at the second stage. Two objectives, which are minimising the number of tardy tasks and the total transmission tardiness, are studied. Some analytical properties are proved and some algorithms are proposed to solve the problem. Extensive numerical experiments are conducted to test the performances of the proposed algorithms. [Received 27 July 2017; Revised 28 November 2017; Accepted 2 January 2018] | Source Title: | EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING | URI: | https://scholarbank.nus.edu.sg/handle/10635/155204 | ISSN: | 1751-5254 1751-5262 |
DOI: | 10.1504/EJIE.2018.090622 |
Appears in Collections: | Staff Publications Elements |
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