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Keywords = SIWRSNs

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18 pages, 1288 KiB  
Article
A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks
by Yixiong Feng, Yong Wang, Hao Zheng, Shanghua Mi and Jianrong Tan
Sensors 2018, 18(8), 2591; https://doi.org/10.3390/s18082591 - 7 Aug 2018
Cited by 12 | Viewed by 3926
Abstract
Energy provisioning is always a crucial problem restricting the further development and application of smart industrial wireless sensor networks in smart factories. In this paper, we present that it is necessary to develop smart industrial wireless rechargeable sensor networks (SIWRSNs) in a smart [...] Read more.
Energy provisioning is always a crucial problem restricting the further development and application of smart industrial wireless sensor networks in smart factories. In this paper, we present that it is necessary to develop smart industrial wireless rechargeable sensor networks (SIWRSNs) in a smart factory environment. Based on the complexity and time-effectiveness of factory operations, we establish a joint optimization framework named J-EPMS to effectively coordinate the charging strategies of wireless sensors and the scheduling plans of machines running. Then, we propose a novel double chains quantum genetic algorithm with Taboo search (DCQGA-TS) for J-EPMS to obtain a suboptimal solution. The simulation results demonstrate that the DCQGA-TS algorithm can maximally ensure the continuous manufacturing and markedly shorten the total completion time of all production tasks. Full article
(This article belongs to the Collection Smart Industrial Wireless Sensor Networks)
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