Comparative link-level analysis and performance estimation of channel models for IIoT (Industrial-IoT) wireless communications

Mahbub, Mobasshir

doi:10.1016/j.iot.2020.100315

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…Wang et al [8] conducted a comparative analysis of channel modeling for industrial IoT wireless communication in free space loss, single slope, 3GPP model, and industrial indoor channel model. Another researcher, Mahbub [12] compared the channel model attenuation factor and log-normal shadowing path loss on four parameters: signal strength, packet loss, error, and delay. Caso performed empirical modeling for Narrow Band-IoT Path Loss technology with two models, Alpha-Beta-Gamma (ABG) and Close-In Model (CI) [9].…”

Section: A Wireless Sensor Network Configurationmentioning

confidence: 99%

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Miptahudin

Suryani²,

Wirawan³

2022

JOIV : Int. J. Inform. Visualization

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Wireless Sensor Network (WSN) is a collection of sensors communicating at close range by forming a wireless-based network (wireless). Since 2015 research related to the use of WSN in various health, agriculture, security industry, and other fields has continued to grow. One interesting research case is the use of WSN for the monitoring process by collecting data using sensors placed and distributed in locations based on a wireless system. Sensors with low power, multifunction, supported by a combination of wireless network, microcontroller, memory, operating system, radio communication, and energy source in the form of an integrated battery enable a monitoring process of the monitoring area to run properly. The implementation of the wireless sensor network includes five main parts, namely sender, receiver, wireless transmission media, data/information, network architecture/configuration, and network management. Network management itself includes network configuration management, network performance management, network failure management, network security management, and network financing management. The main obstacles in implementing a wireless sensor network include three things: an effective and efficient data sending/receiving process, limited and easily depleted sensor energy/power, network security, and data security that is vulnerable to eavesdropping and destruction. This paper presents a taxonomy related to the constraints in implementing Wireless Sensor Networks. This paper also presents solutions from existing studies related to the constraints of implementing the WSN. Furthermore, from the results of the taxonomy mapping of these constraints, new gaps were identified related to developing existing research to produce better solutions.

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Section: A Wireless Sensor Network Configurationmentioning

confidence: 99%

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Miptahudin

Suryani²,

Wirawan³

2022

JOIV : Int. J. Inform. Visualization

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“…Like the students' collaborative learning ability, the evaluation basis of students' expressive ability also comes from the three links in the student's learning [24]. e use of students' preclass expression skills is mainly to encounter related problems and doubts in the process of autonomous learning and communicate with classmates or teachers in written and written forms.…”

Section: College English Teaching From the Perspective Of The Interne...mentioning

confidence: 99%

The Construction of College English Teaching Model from the Perspective of Internet-of-Things Wireless Communication

Wang

Zheng

2022

Mobile Information Systems

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The college English teaching model from the perspective of the Internet of Things is to introduce technology into the teaching process of college English. There are mainly students, teachers, and knowledge classrooms. The relationship between these roles in college English teaching is analyzed and researched. Then observing the wireless communication of the Internet of Things to manage the complex teaching management model in a hierarchical and modular form. A college English teaching model that is, constructs a student-centered, hierarchical classroom teaching model. Strengthen the cultivation of students’ language application ability through the perception of English language and comprehensive language communication. And through the analysis of the understanding of the Internet of Things and the modules of college English teaching, the students, teachers, and knowledge in the classroom are organized in the classroom as a whole. The experimental results in this paper show that through the application of Internet of Things technology in college English teaching, students’ English learning ability improves by 15–18%.

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“…For channel model evaluation, performance estimation techniques such as acquired signal power, packet loss likelihood, RMS (Root Mean Square) error, and RMS delay spread are examined. is research may be used to satisfy the requirements for adequate IIoT channel modelling [4]. Industry 4.0 places a high value on industrial automation.…”

Section: Related Workmentioning

confidence: 99%

“…It has placed strict human constraints in the manufacturing process in order to achieve quality improvement and an emphasis on valueadded activities while eliminating waste [3]. Due to heterogeneous devices, multiple channel impairments, attenuation, spontaneous variations, and shadowing impacts occur in industrial scenarios where devices interact dynamically and in a stable and efficient manner with one another using wireless technology [4]. Flexibility, mass customization, service efficiency, and productivity are all growing as a result of Industry 4.0 [5].…”

Section: Introductionmentioning

confidence: 99%

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

Lin

2021

Scientific Programming

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With the revolution in Internet and digital technology, every organization is adopting digital things to carry out their day-to-day activities. Internet of Things (IoT) is a concept that is used to connect various devices over the Internet to increase the production and quality of service, deliver a huge amount of data in seconds, and automate the processes. IoT implementation in the health sector has changed the typical setup into smart and intelligent setup. With the “smart” and “Intelligent” abilities of IoT devices such as sensors and with the collaboration of humans and computers, physical processes can be monitored and, based on the received data, optimal decisions can ultimately be taken. IoT applications in healthcare will increase flexibility, patient’s care, quality of health, and control of diseases. As the IoT combines various heterogeneous devices and the inappropriate determination of the degree of characteristics for Internet of healthcare (IoH) devices may affect the efficiency of services, this research is carried out with the use of decision support system and application of fuzzy analytic network process (fuzzy ANP) was used for optimal determination of the degree of characteristics for IoH devices based on unique properties which would greatly increase the efficiency of industry. The experimental results are efficient and show the usefulness of the approach.

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Comparative link-level analysis and performance estimation of channel models for IIoT (Industrial-IoT) wireless communications

Cited by 8 publications

References 22 publications

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

Wireless Sensor Network Based Monitoring System: Implementation, Constraints, and Solution

The Construction of College English Teaching Model from the Perspective of Internet-of-Things Wireless Communication

Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

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