CBI4.0: A cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0

[1]  B. Clerckx,et al.  Channel Characterization of Indoor Wireless Personal Area Networks , 2006, IEEE Transactions on Antennas and Propagation.

[2]  Muhammad Faheem,et al.  EDHRP: Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks , 2015, J. Netw. Comput. Appl..

[3]  Yin Zhang,et al.  A Delay-Aware Wireless Sensor Network Routing Protocol for Industrial Applications , 2016, Mob. Networks Appl..

[4]  Mikael Gidlund,et al.  QoS-Aware Cross-Layer Configuration for Industrial Wireless Sensor Networks , 2016, IEEE Transactions on Industrial Informatics.

[5]  Jason Jianjun Gu,et al.  Deep Neural Networks for wireless localization in indoor and outdoor environments , 2016, Neurocomputing.

[6]  Jens P. Wulfsberg,et al.  Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing , 2016 .

[7]  Rajeev Tripathi,et al.  Critical data real-time routing in industrial wireless sensor networks , 2016, IET Wirel. Sens. Syst..

[8]  Michael Cheffena,et al.  Propagation Channel Characteristics of Industrial Wireless Sensor Networks [Wireless Corner] , 2016, IEEE Antennas and Propagation Magazine.

[9]  Inwhee Joe,et al.  Clustering scheme for cooperative spectrum sensing in cognitive radio networks , 2016, IET Commun..

[10]  Muhammad Faheem,et al.  Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications , 2017, Comput. Commun..

[11]  Erik Hofmann,et al.  Industry 4.0 and the current status as well as future prospects on logistics , 2017, Comput. Ind..

[12]  Marcelo S. Alencar,et al.  Real-time link quality estimation for industrial wireless sensor networks using dedicated nodes , 2017, Ad Hoc Networks.

[13]  M. Senthil Kumaran,et al.  Pre-channel scheduling and Priority-based reservation in medium access control for industrial wireless sensor network applications , 2017, Comput. Electr. Eng..

[14]  K. Umamaheswari,et al.  An Efficient Optimized Handover in Cognitive Radio Networks using Cooperative Spectrum Sensing , 2017 .

[15]  Karl Henrik Johansson,et al.  Cross-Layer Optimization for Industrial Control Applications Using Wireless Sensor and Actuator Mesh Networks , 2017, IEEE Transactions on Industrial Electronics.

[16]  Chee Keong Tan,et al.  A Reliable Time-Domain Spectrum Hole Prediction for Cognitive Radio Networks Using Regularized Multi-Layer Perceptron , 2017, Wirel. Pers. Commun..

[17]  Yang Lu,et al.  Industry 4.0: A survey on technologies, applications and open research issues , 2017, J. Ind. Inf. Integr..

[18]  Mugen Peng,et al.  Edge computing technologies for Internet of Things: a primer , 2017, Digit. Commun. Networks.

[19]  Wolfgang Kellerer,et al.  DetServ: Network Models for Real-Time QoS Provisioning in SDN-Based Industrial Environments , 2017, IEEE Transactions on Network and Service Management.

[20]  Ray Y. Zhong,et al.  Intelligent Manufacturing in the Context of Industry 4.0: A Review , 2017 .

[21]  Xianzhong Tian,et al.  Reliable and Energy-Efficient Data Forwarding in Industrial Wireless Sensor Networks , 2017, IEEE Systems Journal.

[22]  Guangjie Han,et al.  An Energy Efficient and QoS Aware Routing Algorithm Based on Data Classification for Industrial Wireless Sensor Networks , 2018, IEEE Access.

[23]  Vehbi C. Gungor,et al.  Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges , 2018, Comput. Sci. Rev..

[24]  Morteza Ghobakhloo,et al.  The future of manufacturing industry: a strategic roadmap toward Industry 4.0 , 2018, Journal of Manufacturing Technology Management.

[25]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[26]  Rosdiazli Ibrahim,et al.  Internal model control for industrial wireless plant using WirelessHART hardware-in-the-loop simulator. , 2018, ISA transactions.

[27]  Rohitha Ujjinimatad,et al.  Signal Detection in Cognitive Radio Networks over AWGN and Fading Channels , 2018, Int. J. Wirel. Inf. Networks.

[28]  Muhammad Faheem,et al.  Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0 , 2017, Appl. Soft Comput..

[29]  Eduardo Tovar,et al.  Active flow control using dense wireless sensor and actuator networks , 2018, Microprocess. Microsystems.

[30]  Yong Wang,et al.  A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks , 2018, Sensors.

[31]  G. B. Benitez,et al.  The expected contribution of Industry 4.0 technologies for industrial performance , 2018, International Journal of Production Economics.

[32]  Mo Sha,et al.  Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks , 2019, IEEE/ACM Transactions on Networking.

[33]  Dao Yin,et al.  Reference architecture of common service platform for Industrial Big Data (I-BD) based on multi-party co-construction , 2019, The International Journal of Advanced Manufacturing Technology.

[34]  Marcelo S. Alencar,et al.  Adaptive and Beacon-based multi-channel protocol for Industrial Wireless Sensor Networks , 2019, J. Netw. Comput. Appl..

[35]  Raja Elassali,et al.  Influence of pulse shaping filters on cyclostationary features of 5G waveforms candidates , 2019, Signal Process..

[36]  Mikael Gidlund,et al.  Priority-Aware Wireless Fieldbus Protocol for Mixed-Criticality Industrial Wireless Sensor Networks , 2019, IEEE Sensors Journal.

[37]  Rizwan Aslam Butt,et al.  Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0 , 2018, Trans. Emerg. Telecommun. Technol..

[38]  Muhammad Faheem,et al.  Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges - A MAC survey , 2019, Int. J. Commun. Syst..

[39]  James Gross,et al.  Bound-based power optimization for multi-hop heterogeneous wireless industrial networks under statistical delay constraints , 2019, Comput. Networks.

[40]  Nikolaos Papakonstantinou,et al.  Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study , 2019, J. Ind. Inf. Integr..

[41]  Robert W. Brennan,et al.  An ad hoc distributed systems approach for industrial wireless sensor network management , 2019, J. Ind. Inf. Integr..

[42]  Vimalathithan Rathinasabapathy,et al.  An SoC architecture for energy detection based spectrum sensing using Low Latency Column Bit Compressed (LLCBC) MAC in cognitive radio wireless sensor networks , 2019, Microprocess. Microsystems.

[43]  Bhaskar Krishnamachari,et al.  FWB: Funneling Wider Bandwidth algorithm for high performance data collection in Wireless Sensor Networks , 2019, Comput. Commun..

[44]  Ashraf A. M. Khalaf,et al.  A utilization of multiple antenna elements for matched filter based spectrum sensing performance enhancement in cognitive radio system , 2019, AEU - International Journal of Electronics and Communications.

[45]  Giuseppe Aceto,et al.  Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 , 2020, J. Ind. Inf. Integr..

[46]  Ali Jameel Al-Mousawi.  Magnetic Explosives Detection System (MEDS) based on wireless sensor network and machine learning , 2020 .

[47]  Didem Gözüpek,et al.  Switching Cost-Aware Joint Frequency Assignment and Scheduling for Industrial Cognitive Radio Networks , 2020, IEEE Transactions on Industrial Informatics.

[48]  Chankook Park,et al.  Review of the changing electricity industry value chain in the ICT convergence era , 2020, Journal of Cleaner Production.