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 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.
Highlights
With the rise of Industry 4.0 and smart manufacturing, smart industrial wireless sensor networks (SIWSNs) have become a vitally important part of smart factories
By reason of the imperfection of energy provisioning, the limited battery capacity means it is difficult to meet the requirement of continuous processing for a long time, and smart factories are restricted in the lifetime of IWSNs
Since the computation complexity of Joint Energy Provisioning and Manufacturing Scheduling (J-EPMS) grows exponentially, we proposed the double chains quantum genetic algorithm with Taboo search (DCQGA-TS) to obtain a suboptimal solution
Summary
With the rise of Industry 4.0 and smart manufacturing, smart industrial wireless sensor networks (SIWSNs) have become a vitally important part of smart factories. By reason of the imperfection of energy provisioning, the limited battery capacity means it is difficult to meet the requirement of continuous processing for a long time, and smart factories are restricted in the lifetime of IWSNs. To implement energy replenishment in IWSNs, many researchers have made use of wireless charging technology to develop a new kind of sensor network called a Wireless Rechargeable Sensor. In order to realize the large-scale applications of industrial wireless sensors, smart factories should establish a stable and reliable wireless rechargeable sensor network, and make use of mobile chargers to supplement energy for low-power sensors in time. As far as we know, there is little research focusing on how to effectively schedule mobile chargers to replenish energy for smart industrial wireless rechargeable sensor networks (SIWRSNs) in a smart factory environment This problem urgently needs to be solved to reliably operate a smart factory.
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