Instrumentation subject has a major and vital role in the industrial field. The concepts of sensors, actuators, signal interface, and conditioning, programming the microprocessor and microcontroller are the most important requisites to comprehend and contribute to the real-world application. The application of these concepts is PLC and Robotics course where the students can apply and practical experience the output. To design a project and to implement we need multidisciplinary concepts and sequence of steps viz., defining an idea, requirements and the fabricating parts to bring out a visual structure in order to perform an intended function. To inculcate this culture it’s much more important to follow and implement the standard and well-known methodology called Bloom’s taxonomy in the classroom environment for a better outcome of the course. Current leading technology PLC and Robotics course, (which require prerequisite knowledge of courses like Instrumentation, Microprocessors, Mechatronics) are very well connected for applying the gained concepts to continue the stream of the learning process. The paper presents how to bring better learning Outcomes and also create interest in the course PLC and Robotics by implementing Bloom’s taxonomy by conducting activities in the classroom.
To develop Next Generation Wireless Communication a generic hardware design is required so that it can be driven by software to allow for future upgrades. Thus Reconfigurable Radio implements multi-band, multi-mode operation and interoperability with low-cost. For reducing response time between incompatible radios during emergencies interoperability is essential for a secure heterogeneous communication. Some of the Challenges identified for implementing reliable and reconfigurable wireless communication systems are: specific training required for using the equipment, end-to-end connectivity between devices, extending link capacity during the high peak utilization. Each device and architecture will differ based on the type of communication system. Interconnecting emerging fields enhances the performance , implementation helps to come across alternatives to overcome practical difficulties and challenges of connecting different fields to Cognitive Radio(CR). Earlier research gave prominence to theoretical and simulation-based work. This motivates us to verify interoperability in real time using SDR. This paper describes the implementation of a Multiband, multimode operation for establishing communication between different types of architecture i.e. VUSDR (HAM), Hack RF One, LoRa, RF module, GSM module and USRP N210 to prove reliability and end-to-end communication.
The exponential growth of Internet of Things (IoT) leads to spectrum-related issues such as Spectrum Allocation and Management. IoT devices are interconnected in heterogeneous networks, which have interference, and hardware-software interconnection problems. Cognitive radio (CR) that has connectivity to the Internet strengthens the concept of "Internet of Things". Due to the diversification of applications, embedding the IoT technology with cognitive capability aids intelligence and improves the overall performance of the system. The Cognitive Internet of Things (CIoT) has emerged as an equipping technology, which focuses on the functions of CR and its potential contribution to IoT. The reason for deploying CR as the central device is to manage and provide an interface to different users. CR has the capabilities to implement artificial intelligence schemes to provide learning features and automatic reconfiguration. An attempt is made to design, and implement a preliminary step called sensing control layer which is the first step out of the framework of CIoT. Software-defined radio (SDR) has been used as the central unit whose function is to sense the spectrum and connect the IoT devices. Experimental results show that SDR as the central unit extends the functions of the network, re-configurability, and also provides interoperability in the heterogeneous network. Keywords Software-defined radio (SDR) • Internet of Things (IoT) • Cognitive radio (CR) • Reconfigurable radio • Spectrum sensing • Spectrum hole • Universal Software Radio Peripheral (USRP) This article is part of the topical collection "Cyber Security and Privacy in Communication Networks" guest edited by
When events are uncontrolled due to hurricanes, the communication will breakdown. During this strenuous situation there is a need for reliable communication system to provide alert and emergency services. There remains a particular attention towards portability, reconfigurability, and interoperability in a communication system to reduce response time during emergencies. The real-time implementation helps to come across alternatives to overcome practical difficulties and challenges. This motivates us to implement a Relay Node in real-time using SDR , hence an experiment is carried out in order to gain first hand experience between different types of architecture of SDR i.e.VUSDR, HackRF One, and USRP. The architecture of Low-cost VUSDR and comparison between different types of SDR has been presented in this paper. Future scope and applications are presented.
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