Internet Of Things Innovation Research Articles

A Review of Identity Methods of Internet of Things (IOT)

The Internet of Things (IOT) is a recent technology originating from the field of sensor networks. It has received significant attention because it is involved in most aspects of our daily lives. The IOT vision makes objects of various kinds become part of the Internet by assigning each object a unique identifier, enabling objects to communicate with each other in the same or different environments. IOT can collect, process, and exchange data via a data communication network. There are many methods for identifying objects; some have existed since the beginning of IOT innovation, such as Radio Frequency Identification (RFID), Barcode/2D code, IP address, Electronic Product Codes (EPC), etc. Continuous development in IOT domain and the large number of objects connected to the Internet daily require an improved identification method to cope with the rapid development in this field. Many modern methods have been proposed recently, based on various technologies such as computer vision, fingerprinting, and machine learning. This paper introduces an overview of IOT and discusses its fundamental elements; it mainly focuses on identification of IOT which is considered the main part that the IOT systems rely on. The paper discusses the existing identification methods for IOT. Moreover, it provides a review of the modern identification methods proposed in recent literature.

IoT innovation clusters in Europe and the case for public policy

Abstract The Internet of Things (IoT) is currently developing fast and its potential as driver of innovative solutions is increasing, pushed by technologies, networks, communication, and computing power, and has the potential to drive the development of technological ecosystems, such as innovation clusters. Innovation clusters are agglomeration of enterprises and research organizations, which cooperate, interact and compete, generating innovation and driving the growth of ecosystems. The narrative around innovation clusters has been developing since many years and policy-makers seek to use such clusters as a policy instrument to support the growth of technology on the one hand and regional and sectoral development on the other hand. This policy paper expands an empirical study on IoT innovation clusters in Europe and places it within the current debate around clusters and innovation clusters to provide evidence-based advice to policy-makers on what may and may not work as public policy measures. The paper highlights the findings of the interaction with several hundred European IoT innovation clusters and points out their points of view on their own creation factors, operational characteristics, and success stories, as well as their expectations in respect to policy interventions for IoT and for clusters. Suggestions for IoT policy-making are provided. The paper has also undertaken an extensive review of up-to date research on innovation cluster creation and performance, thoroughly analyzing the real possibility to define causal relationships between clusters, productivity and economic growth, and business performance, and providing suggestions for policy-makers on the approach to cluster policy.

A Concurrence Study on Interoperability Issues in IoT and Decision Making Based Model on Data and Services being used during Inter-Operability

The Internet-of-Things (IoT) has become an important topic among researchers owing to its potential to change the way we live and use smart devices. In recent years, many research work found in the world are interrelated and convey via the existing web structure which makes a worldwide system called IoT. This study focused on the significant improvement of answers for a wider scope of gadgets and the Internet of Things IoT stages in recent years. In any case, each arrangement gives its very own IoT framework, gadgets, APIs, and information configurations promoting interoperability issues. These issues are the outcome of numerous basic issues, difficulty to create IoT application uncovering cross-stage, and additionally cross-space, trouble in connecting non-interoperable IoT gadgets to various IoT stages, what's more, eventually averts the development of IoT innovation at an enormous scale. To authorize consistent data sharing between various IoT vendors, endeavors by a few academia, industrial, and institutional groups have accelerated to support IoT interoperability. This paper plays out a far-reaching study on the cutting-edge answers for encouraging interoperability between various IoT stages. Likewise, the key difficulties in this theme are introduced.

Cross‐layer innovations in Internet of Things

Cross‐layer innovations in Internet of Things

A Study on Car Parking System Using Internet of Things

There is an enormous increment in the number of vehicles in the most recent two decades so these days vehicle parking has become a significant issue in the transportation part for the absence of parking place. The advancement of Internet-of-Things (IoT) gadgets, systems administration, and versatile applications, the organization is interested in a new and keen stopping framework through which clients can be educated continuously about the nearness of empty stopping spaces. The IoT gadget interfaces the objects of this present reality to the virtual world and empowers the availability of anything, anywhere. This paper presents a shrewd vehicle-leaving framework and gives an idea about to build up a system design dependent on IoT innovation.

Digital Transformation Through Exploratory and Exploitative Internet of Things Innovations: The Impact of Family Management and Technological Diversification*

This study examines the impact of family management on digital transformation with specific regard to the firm’s development of Internet of Things (IoT) innovations. Drawing on the distinctive characteristics of firms with family managers, such as the focus on family‐centered noneconomic goals, long tenure, emotional ties to existing assets, and rigid mental models, it hypothesizes that increasing family involvement in the top management team is negatively related to the development of IoT innovations that are distant from a firm’s existing technology base (i.e., exploratory IoT innovations) compared to exploitative IoT innovations. Further, the study proposes that the firm’s degree of technological diversification, especially in unrelated forms, reinforces this relationship. The longitudinal analysis between 2002 and 2013 on a sample of publicly traded German firms allows us to test our hypotheses from the beginning of the emergence of the IoT concept. Our findings show that due to the particular characteristics of their managers, family‐managed firms do not welcome the risks related to exploratory IoT innovations, and the benefit of risk diversification from technological diversification is lower than the cost of abandoning family‐centered goals. As our results imply that the involvement of family managers constrains the development of exploratory IoT innovation, the top management team composition in firms that intend to be at the forefront of the digital transformation should be accurately designed by avoiding a high proportion of family members.

Using IoT Innovation and Efficiency in Agriculture Monitoring System

Agriculture is undoubtedly a leading field for livelihoods in China. As the population increases, it is necessary to increase agricultural productivity. By capturing the support and the increment in production on farms, the need for freshwater used for irrigation increases too. Presently, agriculture accounts for 80% of overall water uptake in China. Unexpected overflow of water carelessly leads to waste of water. Therefore we created a programmed plant irrigation system with Arduino that mechanically supplies water to the plants and keeps it updated by transferring the message to user. Plant irrigation system employs the soil moisture sensor which controls a degree of moisture in the soil. If the humidity degree is lower, Arduino activates a pump of water to supply water to the system. The pump of water stops by design when the organism detects sufficient moisture in the ground. Each time the system is switched off or on, an electronic messaging is conveyed to the end-user through the IoT unit, informing the position of the soil moisture and the pump of water. A spray motor and the pump of water are grounded on the crane concept. Widely, this system is applicable for in small fields, gardens farms, etc. This design is entirely programmed and needed no human involvement. Furthermore, transmission of the sensor readings send through a Thing speak frequency to produce graphic elements for better inquiry. This study gathers the ideas of IoT (Internet of Things) with some engineering tools like machinery, artificial intelligence and use of sensors in an efficient way to respond current needs and extraction of resources by availing scientific methods and procedures that work on inputs. Moreover, this study further defines the engineering works that have been part of this field, but it requires more efficiency and reduction of energy as well as costs by adding more contribution of IoT in the field of agriculture engineering.

A Real Time Engine Oil Monitoring System for Diagnosis of Lubricant using IoT Network

In the modern days, Internet of Things (IoT) is smart communicating approach and creates an energetic impression in future of automobile industry. The advancement of IoT innovation in each field can be joined with the rising occasions setting off a requirement for a superior human way of life and its applications are vast and innumerable. One such application can be implied for the automobile industry to real time monitor the engine lubricant because in India, automobile mechanics still use conventional techniques of engine lubricant supervision. So in this paper, we present, an IoT technology based a real time Engine Oil Monitoring (EOM) System for diagnosis of engine lubricant. The main objective of this research paper is to reduce the human effort and to provide a smart sensing approach in automobile industry for maintaining real time engine oil conditions. EOM system is designed with the help of Arduino Nano with sensor devices named as Light Dependent Resistor (LDR) sensor for oil quality, LM35-Temperature sensor for temperature and Ultrasonic Sensor for oil level measurement in engine. Real time testing results shown in the connected display unit and experimental results of proposed EOM system using IoT network provides an efficient diagnosis results. EOM system is working properly that is observed in the experimental analysis section for two different scenario such as 10W-50 4T Scooter Engine Oil-Honda Activa 125 (1L) and 10W-30 Synthetic Engine Oil for Petrol Cars (3.5 L).

Leveraging IoT and Fog Computing in Healthcare Systems

Internet of things (IoT) is playing a pivotal role in bringing comfort and ease in human lives by connecting billions of devices across the globe. Innovation and development in IoT have established new ways to analyze patient data in healthcare systems. Currently, IoT and cloud-based solutions are available to process and analyze patient data, but cloud computing causes large end-to-end delay and network usage problems while processing huge amounts of data. Efficiency and security are still a challenge in IoT-based healthcare systems. Fog computing is introduced to overcome the issues of cloud computing by providing computing and storage services at the edge of the network. In this article, first we present a fog based efficient architecture for IoT-based healthcare systems. Then we present the user authentication method through identity management to prevent security breaches. The fog based architecture for healthcare includes the idea of a virtual machine (VM) partitioning in fog node to smoothly run the body sensor network and medical IoT devices data. The Elliptic Curve Cryptography technique is used to generate the output token for the user authentication method.

Automatic Modulation Classification Using Gated Recurrent Residual Network

The development of the Internet-of-Things (IoT) security is comparatively slower than the pace of the IoT innovations. The seamless IoT network operates in an untrusted environment and is exposed to many malicious active attacks. As the process of identifying the modulation format of signals is corrupted by noise and fading, automatic modulation classification (AMC) can be viewed as an effective approach to counter physical-layer threats for IoT as it can detect and identify the pilot jamming, deceptive jamming, and Sybil attacks. Nowadays, data-driven deep learning (DL) techniques, which are capable of extracting discriminative features and perform better robustness to channel and noise conditions, have drawn widespread attention. The deep residual network (ResNet) has a strong representative ability, which can learn latent information repeatedly from the received signals and improve the classification accuracy. Meanwhile, the gated recurrent unit (GRU), which is capable of exploiting temporal information of the received signal can expand the dimension of the signal features for satisfactory classification performance. Considering the advantages of the above networks, this article proposes a novel gated recurrent residual neural network (GrrNet) for feature-based AMC, where the amplitude and phase of the received signal are utilized as the inputs of GrrNet. In GrrNet, a ResNet extractor module is first designed to extract the highly representative features and then temporal information is obtained by the subsequent GRU module which is capable of processing the representative features with the arbitrary length for modulation classification. Moreover, extensive simulations are conducted to verify the classification performance and robustness of the proposed GrrNet and it is shown that GrrNet outperforms other recent DL-based AMC methods. Moreover, the influence of the network parameters, symbol length, and frequency offset on performance is also explored.

A smart FPGA based design and implementation of grid connected direct matrix converter with IoT communication

Recent innovation in Internet of Things (IoT) is viewed as a fundamental base for power electronics converters. IoT gadgets have characteristically restricted responsiveness that may not be sufficient period for basic signal generators with stringent requests on correspondence delay. Practically denoted, it remains a remarkable issue to consolidate IoT innovation with existing grids. This paper demonstrates a smart IoT system is used for a Matrix Converter and it is based on the Neutral Point Clamped converter is introduce to minimize the currents harmonics in input and output side. The three stage output voltage is taken to the matrix converter and this power utilized in the medium voltage high power applications. The converter operation and control strategy are prepared using Robust Grid Unbalanced Control Technique. In inverter is based on Neutral Point Clamped structure and the main part of the system and its give the zero current with neutral point in this circuit. The Direct Current (DC) link is not controlled in the existing topology, but this operation is possible to the proposed bi-directional capacitor system to control the DC link. By using Robust Grid Unbalanced Control (RGUC) Technique, the Matrix Converter parameters are continuously loaded to IoT server. The effectiveness of the proposed structure of Robust Grid Unbalanced Control is validated by using simulation and hardware results and achieved overall 98.53% efficiency in this proposed control technique. This implementation of RGUC based matrix converter is also carried out using low cost but powerful FPGA and the experimental results obtained are compared with those obtained through simulation.

Bridging Internet of Things and Wireless Sensor Networks: Applications and Challenges

With the increasing demand of Wireless Sensor Networks (WSNs) innovations, it cuts numerous zones mobile communication, cloud computing and embedded system in modern living. Inter-net of Things (IoT) is widely used in environmental condition monitoring, logistic support and interfacing sensors and actuators wirelessly, which can be controlled from very long distance. This offers the capacity to control the world from a corner of a room. Wherein sensors and actuators operate reliably with the help of IoT. Wireless data transmission that uses Radio Frequency (RF) has major technical burdens and security vulnerability. The IoT replaced RF as it provides secure transmission capabilities. In this paper, we exhibit a technical overview of WSNs and IoT especially their drawbacks and challenges. Additionally, this paper discusses the progress of the WSNs and IoT innovation.

Survey Report on Sending Data Securely using IOT Over Cloud

Survey Report on Sending Data Securely using IOT Over Cloud
 The Internet of Things (IOT) is the network of physical objects, computers, cars, houses, and other things embedded with electronics, software, sensors, and network connectivity, allowing these objects to collect and exchange data. In the new technology market, IOT innovations is the next major step, but with the big difference that it brings about massive changes in business usability. A flare in the number of connected devices as well as placed locations is anticipated over the next few years and the functions that they will perform. Due to recent developments in networking and sensor technology, the Internet of Things (IoT) has grown rapidly. It seems very difficult to link that object together through the internet, but within a time frame, the internet of things will change our lives dramatically.

Plant Disease Detection using Internet of Thing (IoT)

This paper presents the idea of internet of things (IOT) innovation to percept data, and talks about the job of the IOT innovation in farming infection and bug nuisance control, which incorporates rural ailment and bug checking framework, gathering sickness and creepy crawly bother data utilizing sensor hubs, information preparing and mining, etc. A malady and bug irritation control framework dependent on IOT is proposed, which comprised of three levels and three frameworks. The framework can give another approach to get to horticultural data for the farm. In this paper a computerized framework has been created to decide if the plant is ordinary or infected. The typical development of the plants, yield and nature of horticultural items is truly influenced by plant illness. This paper attempt to build up a robotized framework that identifies the nearness of disease in the plants. A mechanized ailment recognition framework is created utilizing sensors like temperature, moistness and shading dependent on variety in plant leaf wellbeing condition. The qualities dependent on temperature, mugginess and shading parameters are utilized to distinguish nearness of plant sickness.

Adoption Barriers of IoT in Large Scale Pilots

The pervasive connectivity of devices enabled by Internet of Things (IoT) technologies is leading the way in various innovative services and applications. This increasing connectivity comes with its own complexity. Thus, large scale pilots (LSPs) are designed to develop, test and use IoT innovations in various domains in conditions very similar to their operational scalable setting. One of the key challenges facing the diffusion of such innovations within the course of an LSP is understanding the conditions in which their respective users decide to adopt them (or not). Accordingly, in this study we explore IoT adoption barriers in four LSPs in Europe from the following domains: smart cities, autonomous driving, wearables and smart agriculture and farming. By applying Roger’s Diffusion of Innovation as a theoretical lens and using empirical data from workshops and expert interviews, we identify a set of common and domain specific adoption barriers. Our results reveal that trust, cost, perceived value, privacy and security are common concerns, yet shape differently across domains. In order to overcome various barriers, the relative advantage or value of using the innovation needs to be clearly communicated and related to the users’ situational use; while this value can be economic in some domains, it is more hedonic in others. LSPs were particularly challenged in applying established strategies to overcome some of those barriers (e.g., co-creation with end-users) due to the immaturity of the technology as well as the scale of pilots. Accordingly, we reflect on the theoretical choice in the discussion as well as the implications of this study on research and practice. We conclude with providing practical recommendations to LSPs and avenues for future research.

IoT Innovations in Libraries: Transforming Services and Accessibility

The advent of the Internet of Things (IoT) has ushered in a new era of innovation and transformation in libraries worldwide. "IoT Innovations in Libraries: Transforming Services and Accessibility" delves into the exciting realm of IoT technologies and their profound impact on modern library services and accessibility. In an age where digitalization and connectivity are paramount, this paper explores how libraries are embracing IoT to revamp their offerings. From smart shelves that optimize collection management to sensor-equipped spaces that enhance user experiences, this comprehensive guide showcases a myriad of IoT applications tailored to the library ecosystem. Through real-world case studies and best practices, readers will gain insights into how IoT is redefining library services. Discover how IoT-enabled systems facilitate seamless resource tracking, personalized recommendations, and real-time data analytics, empowering librarians to make informed decisions and offer unparalleled support to patrons. Accessibility is a core focus throughout the book, as IoT technologies open doors to a more inclusive library experience. Learn how IoT-driven assistive devices and smart navigation tools are breaking down barriers for individuals with disabilities, ensuring that libraries are welcoming and accommodating to all. It emphasizes the importance of safeguarding user privacy while harnessing the power of IoT for the betterment of library services

Evaluating the Performance of Systemic Innovation Problems of the IoT in Manufacturing Industries by Novel MCDM Methods

The Internet of Things (IoT) is an important technological innovation that can enhance industrial competitiveness and sustainability. Thus, governments need to carefully construct an innovation portfolio that promotes sustainable IoT development. To help define an accurate innovation policy and promote development of the IoT industries, potential problems in terms of systemic perspectives should be examined. Such problems, so-called “systemic innovation problems”, influence and block sustainable development of IoT technology as well as the IoT industry. However, past studies that explored systemic innovation problems in IoT-related industries are limited. Thus, this research aims to explore systemic innovation problems related to configuring an IoT innovation policy portfolio. A hybrid Bayesian rough based evaluation model was used to derive the most feasible policy instruments. The modified Delphi, Bayesian Rough Decision-Making Trial and Evaluation Laboratory Based Network Procedures (BR-DNP), and the modified Bayesian rough Vlse Kriterijumska Optimizacija I Kompromisno Resenje (MBR-VIKOR) were introduced. Gaps in performance corresponding to each systemic innovation problem can thus be assessed based on the features of technological innovation systems. The applicability of the proposed model for promoting industrial sustainability of IoT in the Taiwanese smart manufacturing industry (based on the opinions provided by Taiwanese experts) was verified by an empirical study. Eleven systemic innovation problems that influence the development of the IoT for the smart manufacturing industry were compared and ranked. Based on the results of the empirical study, the performance-gap ratio of “low level of interdisciplinary collaboration” problem is the lowest, as compared to other systemic innovation problems. In addition, the systemic functions of entrepreneurial activities and knowledge development are relatively more important than other systemic functions. The empirical results can serve as a basis for planning an IoT innovation policy portfolio definition and roadmap. Moreover, suggestions for enhancing current systemic innovation problems are provided for policy makers and industrial researchers, according to the results of the evaluation.

Weather and Air Pollution real-time Monitoring System using Internet of Things

Pollution detection and regular monitoring is extremely significant errand in this day and age of in our existing world. To make a better and more secure condition for individual, creatures, and plants. We have to screen and control the contamination through the Internet of things innovation. This investigation proposes air contamination and checking model which distinguishes contamination in air based on information mining calculation. The sensor System is used to recognize the sensor regards from different gas sensors. The microcontroller is utilized to exchange the qualities from ADC to server. Information mining is utilized to compute the toxins from various regions. ID3 algorithm is used to figuring the base of the characteristics on probability. Bluetooth module is utilized to interface the controller with the customer and the customer associated with the server by means of web administrations. Remote sensors are utilized to ascertain the level of unsafe gases presents noticeable all around that, at last, gives a decrease in contamination. This framework not just computes the poisons present noticeable all around yet, in addition, we can figure to maintain a strategic distance from future contamination in and can send the notification message to the specific dirtied region. Here we consider basically the concoction Industry close Delhi and the metro urban communities.These research paper mainly focused on the proof of pollution monitoring and detect on particular location or geographical area for an IOT physical gadgets that collects information with respect to physical parameters, utilizing an advanced microcontroller stage, from different sorts of sensors, through diverse methods of correspondence and after that transfers the information to the an internet. The displayed gadget has been intended for remote checking of climate various environments. These article centers around the method of transferring obtained information on the web with the goal that the gadget can be utilized to remotely screen climate parameters and in the long run examine environmental change designs like temperature, humidity, Atmospheric Pressure. The paper also discusses the basic concept of Internet of Things and its potential applications, especially for weather monitoring.

Systemic Functions Evaluation based Technological Innovation System for the Sustainability of IoT in the Manufacturing Industry

Technological innovations are regarded as the tools that can stimulate economic growth and the sustainable development of technology. In recent years, as technologies based on the internet of things (IoT) have rapidly developed, a number of applications based on IoT innovations have emerged and have been widely adopted by various public and private sectors. Applications of IoT in the manufacturing industry, such as manufacturing intelligence, not only play a significant role in the enhancement of industrial competitiveness and sustainability, but also influence the diffusion of innovative applications that are based on IoT innovations. It is crucial for policy makers to understand these potential reasons for stimulating IoT industrial sustainability, as they can facilitate industrial competitiveness and technological innovations using supportive means, such as government procurement and financial incentives. Therefore, there is a need to ascertain different factors that may affect IoT industrial sustainability and further explore the relationship between these factors. However, finding a set of factors that affects IoT industrial sustainability is not easy. Recently, the robustness of a theoretical framework, termed the technological innovation system (TIS), has been verified and has been used to explore and analyze technological and industrial development. Thus, it is suitable for this research to use this theoretical model. In order to find out appropriate factors and accurately analyze the causality among factors that influence IoT industrial sustainability, this research presents a Bayesian rough Multiple Criteria Decision Making (MCDM) model based on TIS functions by integrating random forest (RF), decision making trial and evaluation (DEMATEL), Bayesian theory, and rough interval numbers. The proposed analytical framework is validated by an empirical case of defining the causality between TIS functions to enable the industrial sustainability of IoT in the Taiwanese smart manufacturing industry. Based on the empirical study results, the cause group consists of entrepreneurial activities, knowledge development, market formation, and resource mobilization. The effect group is composed of knowledge diffusion through networks’ guidance of the search, and creation of legitimacy. Moreover, the analytical results also provide several policy suggestions promoting IoT industrial sustainability that can serve as the basis for defining innovation policy tools for Taiwan and late coming economies.

Internet of Things innovation in rural water supply in sub-Saharan Africa: a critical assessment of emerging ICT

Internet of Things (IoT) technologies are beginning to transform rural water supply in sub-Saharan Africa. Such information and communications technologies (ICTs) can facilitate change away from cu...