Low Power Communication Protocols for IoT-Enabled Applications

2018 ◽  
pp. 64-94 ◽  
Author(s):  
Manoj Devare
Keyword(s):  
Low Power ◽  
Power Supply ◽  
Data Transfer ◽  
Communication Protocols ◽  
Wireless Data ◽  
Iot Applications ◽  
Industrial Iot ◽  
Telecommunication Protocols ◽  
Energy Options ◽  
Hardware Platforms

The industrial IoT marching towards the digital twin and the broad spectrum of applications need the specialized low power protocols for communication and data transfer. This chapter provides a comprehensive discussion on the challenges, opportunities, use cases, platforms, and protocols for the deployment of low power protocols in the context of IoT applications. Moreover, discussion extends to the various custom techniques for energy saving in the communication of sensors to hardware, hardware to Cloud, and deferred data pushing in edge computing. The traditional wireless data transfer and communication protocols are suitable in case of the hardware platforms connected with seamless power supply. However, there is need of low power protocols 6LoWPAN, LoRaWAN, Sub 1, ZigBee, BLE, NFC, and other telecommunication protocols across several IoT applications. The SBCs and micro-controllers are not always equipped with these protocol-enabled hardware. This chapter addresses the suitable hardware and combination with low energy options as per the budget, range, and specifications.

POSSIBILITES OF COMMUNICATION ENHANCEMENT FOR EXPERIMENTAL PRODUCTION SYSTEM

2018 ◽  
pp. 173-179 ◽  
Author(s):  
Rakay Robert ◽  
Visnovsky Martin ◽  
Galajdova Alena ◽  
Simsik Dusan
Keyword(s):  
Production System ◽  
Data Transfer ◽  
Communication Protocols ◽  
Experimental System ◽  
Automation System ◽  
Experimental Production ◽  
Wireless Data ◽  
Communication Interface ◽  
Automation Systems ◽  
Automation Control

Urgency of the research. Modern trends in the industrial communication focus on implementation of new communication protocols, wireless data transfer at reduced costs. Communication part of every automation system is crucial and reliability of these systems is very important. Target setting. When designing automation systems and solving connection of different devices, developers have to solve the various aspects as addressing, data rates, data security, etc. The modern Ethernet based communication protocols and data transfer technologies provide significant cost and work reduction. Actual scientific researches and issues analysis. To prepare this paper, different publicly available datasheets and experimental solutions were analyzed as well as conclusions of our previous experiments were used to create the knowledge base about this research topic. Uninvestigated parts of general matters defining. Since there are many different communication solutions, wired and wireless too, and every manufacturer of industrial devices provides its own best solution for communication there is large amount of solutions. This paper is insufficient to describe them all. The research objective. In this article, different communication and connection technologies were analyzed for future im-plementation to an existing experimental production system at the Department of Automation, Control and Human-Machine Interactions. The statement of basic materials. To integrate an existing model of industrial production system to the concept of the Industry 4.0 it is necessary to implement the newest communication technologies. Using Ethernet-based communication protocol, such as Profinet with combination of IO-Link provides good basis to solve this issue. Conclusions. The proposed paper provides possibilities of extending the communication interface for the FMS-500 experimental system. This system is currently based on programmable controllers S7-300 and the PROFIBUS communication inter-face. The planned rebuilding of the assembly system involves the exchange of programmable controllers, the expansion of communication protocols and the integration of new functionalities.

scholarly journals COMPARISON OF COMMUNICATION PROTOCOLS FOR SMART DEVICES

2019 ◽  
pp. 146-154 ◽  
Author(s):  
Róbert Rákay ◽  
Alena Galajdová
Keyword(s):  
Data Transfer ◽  
Communication Protocols ◽  
Communication Technologies ◽  
Smart Devices ◽  
Automation System ◽  
Home Automation ◽  
Wireless Data ◽  
Advantages And Disadvantages ◽  
Communication Device ◽  
Home Automation System

The urgency of the research. Modern trends in the automation focus on the implementation of new communication protocols, wireless data transfer and reduced costs. The communication part of every automation system is crucial, whether it is in the home or industry. Target setting. During the design of the automated systems and the connection of different devices solution, developers have to address different requirements as addressing, data rates, data security, etc. The newest communication protocols and data transfer technologies provide significant data rate and MCU load reduction. Actual scientific researches and issues analysis. To prepare this paper, different free available datasheets and experimental solutions were analyzed as well as conclusions of our previous and other ongoing experiments were used to create the knowledge base about this research topic. Uninvestigated parts of general matters defining. There are many different communication solutions and every manufacturer of communication device provides its best solution. Not all of them can be described in this article. The research objective. The different communication technologies were analyzed for future implementation to a smart devices for home automation, in this article. The statement of basic materials. To propose a future model of home automation system, it is necessary to implement the newest communication technologies. Using the latest communication protocols, such as MQTT, CoAP or Websocket provides a good basis to solve this issue. Conclusions. The proposed paper provides possibilities of the communication for a smart devices of the home automation system. Compared communication protocols have different advantages and disadvantages. The tested protocols meet the communication requirements for home automation devices.

scholarly journals A Systematic Review on Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

2021 ◽  
Vol 13 (1) ◽  
pp. 338
Author(s):  
Nahla Nurelmadina ◽  
Mohammad Kamrul Hasan ◽  
Imran Memon ◽  
Rashid A. Saeed ◽  
Khairul Akram Zainol Ariffin ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Low Power ◽  
Success Factors ◽  
Low Cost ◽  
Network Connectivity ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Iot Applications ◽  
Industrial Iot

The Industrial Internet of things (IIoT) helps several applications that require power control and low cost to achieve long life. The progress of IIoT communications, mainly based on cognitive radio (CR), has been guided to the robust network connectivity. The low power communication is achieved for IIoT sensors applying the Low Power Wide Area Network (LPWAN) with the Sigfox, NBIoT, and LoRaWAN technologies. This paper aims to review the various technologies and protocols for industrial IoT applications. A depth of assessment has been achieved by comparing various technologies considering the key terms such as frequency, data rate, power, coverage, mobility, costing, and QoS. This paper provides an assessment of 64 articles published on electricity control problems of IIoT between 2007 and 2020. That prepares a qualitative technique of answering the research questions (RQ): RQ1: “How cognitive radio engage with the industrial IoT?”, RQ2: “What are the Proposed architectures that Support Cognitive Radio LPWAN based IIOT?”, and RQ3: What key success factors need to comply for reliable CIIoT support in the industry?”. With the systematic literature assessment approach, the effects displayed on the cognitive radio in LPWAN can significantly revolute the commercial IIoT. Thus, researchers are more focused in this regard. The study suggests that the essential factors of design need to be considered to conquer the critical research gaps of the existing LPWAN cognitive-enabled IIoT. A cognitive low energy architecture is brought to ensure efficient and stable communications in a heterogeneous IIoT. It will protect the network layer from offering the customers an efficient platform to rent AI, and various LPWAN technology were explored and investigated.

AlInAs/GaInAs on InP HEMTs for low power supply voltage operation of high power-added efficiency microwave amplifiers

1993 ◽  
Vol 29 (15) ◽  
pp. 1324 ◽  
Author(s):  
L.E. Larson ◽  
M.M. Matloubian ◽  
J.J. Brown ◽  
A.S. Brown ◽  
M. Thompson ◽  
...  
Keyword(s):  
Low Power ◽  
High Power ◽  
Power Supply ◽  
Supply Voltage ◽  
Power Supply Voltage ◽  
Power Added Efficiency ◽  
Microwave Amplifiers

scholarly journals Virtualizing AI at the Distributed Edge Towards Intelligent IoT Applications

2021 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Claudia Campolo ◽  
Giacomo Genovese ◽  
Antonio Iera ◽  
Antonella Molinaro
Keyword(s):  
Resource Constraints ◽  
Smart Cities ◽  
Traditional Approach ◽  
Low Cost ◽  
Iot Applications ◽  
Software And Hardware ◽  
Iot Devices ◽  
Consumer Devices ◽  
Hardware Platforms ◽  
Smart Factories

Several Internet of Things (IoT) applications are booming which rely on advanced artificial intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and make decisions on their behalf in a large variety of contexts, such as smart homes, smart cities, smart factories. Although the traditional approach is to deploy such compute-intensive algorithms into the centralized cloud, the recent proliferation of low-cost, AI-powered microcontrollers and consumer devices paves the way for having the intelligence pervasively spread along the cloud-to-things continuum. The take off of such a promising vision may be hurdled by the resource constraints of IoT devices and by the heterogeneity of (mostly proprietary) AI-embedded software and hardware platforms. In this paper, we propose a solution for the AI distributed deployment at the deep edge, which lays its foundation in the IoT virtualization concept. We design a virtualization layer hosted at the network edge that is in charge of the semantic description of AI-embedded IoT devices, and, hence, it can expose as well as augment their cognitive capabilities in order to feed intelligent IoT applications. The proposal has been mainly devised with the twofold aim of (i) relieving the pressure on constrained devices that are solicited by multiple parties interested in accessing their generated data and inference, and (ii) and targeting interoperability among AI-powered platforms. A Proof-of-Concept (PoC) is provided to showcase the viability and advantages of the proposed solution.

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