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IoT: Future of the Internet of Things Opportunities, Challenges & Solutions

Journey of Next-Generation Internet Of Things (IoT)

Internet Of Things

This article is a small venture into the world of the next-generation Internet of Things (IoT)- it’s opportunities, challenges along with solutions.


It is predicted, that by 2025, all devices will be connected to the Internet, subsequently resulting in the increase of the number of devices connected with the Internet . According to reliable sources, there will be 500 billion devices connected with Internet of Things by the end of 2030. Furthermore, it is also anticipated that each person will have an average of 15 IoT-connected devices with them. IoT offers various industrial opportunities which actually allows the industries to create strategies and models to make their ideas fruitful. Such industrial opportunities lead to effective examination possibilities for researchers, specialists, and enthusiasts in multi-disciplinary research areas, thus combining research studies, engineering abilities, sciences, and humanities all under one umbrella. Additionally, IoT is changing the world into a smart one in which everything is accessible effectively, quickly and easily.


  • Implementation of IoT in Industrial Framework (Industrial IoT).
  • Implementation of IoT in Health Care Equipment (Smart Healthcare).
  • Implementation of IoT in Agriculture (Smart Agriculture).
  • Implementation of IoT in the modernization of cities (Smart Cities).
  • Implementation of IoT in Big Data and Data Analytics


  • many more like smart transportation, smart metering, smart traffic light system, smart multimedia applications, smart spectrum sharing techniques, security and privacy techniques, IoT-based cross-layer protocols.

So let us discuss some of the areas of IoT in details.


The improvement of smart industries have had a great and long-lasting effect on the future of global manufacturing. Industry 4.0 has consolidated the smart industry into cyber-physical technologies, making complicated advancements more useful and effective and improving the performance, quality, controllability, management, and fairness of industrial measures in developing IoT-based smart industries. Future generation cheaper sensing advancements are basic requirements for information collection and great execution by manufacturing industries and supply chains. Simultaneously, a great deal of research has been conducted that has its focus and attention on breaking down the industrial performance and usage of facilities. Here in Industry 4.0,we got to know the difference between conventional and smart industries which outlines the various sorts of sensors utilized in a smart factory. It also plans for future exploration, which includes the vigorous advancement of Industry 4.0 for smart industries.

Next-Generation IoT Based Smart Industry


IoT-based technologies contribute to health-related data analysis of lung pathologies by computerized tomography (CT). In a book called the Internet of Medical Things the authors have proposed a model reliant on IoT-based systems for the arrangement and division of pneumonic CT scans. They apply the machine learning (ML) method for substantial learning strategies together with Parzen’s probability distribution. Their proposed model uses an application programming interface (API) to describe lung pictures. This model gradually helped to use adjustment to locate the pneumonic fringes on the CT picture.

The uses of IoT in healthcare are progressively being embraced in commercial domains. Several business solutions have been provided for the healthcare of an individual. However, there is enormous potential to enhance and increase the IoT-based healthcare frameworks as an essential framework of medical service. In this way, it can make a significant contribution to distinguish the expected advancements to address the issues and challenges resulting from accomplishing these objectives. The future perspectives include real-time location technology for Alzheimer’s patients , who could wear a geospatial location sensor which allow their location to be tracked at any point of time. Other future technologies related to healthcare are as follows: the real-time detection of epileptic seizures and stroke, AR/VR-based tele-healthcare applications, hand-held summarized healthcare records, blockchain-based secure services, remote surgery, and remote interactive medical training.

Next-Generation IoT Based Smart Healthcare


Next-generation IoT-based smart agriculture is expected to assist the advancements of farming practices and techniques to support sustainable farmers and resources. This is financially practical and sound, socially steady, and performs well. This approach aims to maintain soil quality, reduce soil erosion and degradation and also saves water assets. A sustainable smart- agriculture system improves the biodiversity of the land and promotes a healthy and green environment. It is essential to coordinate this with the expanding interest in food and environmental change and the degradation of the biological system in the future. This has a significant role in safeguarding natural assets, reducing ozone-harming gas emissions, stopping biodiversity wastage, and thinking about valued landscapes. The next generation IoT-based smart agriculture has been applied to cultivation to preserve natural resources without compromising the quality of the fundamental requirements. IoT-based smart agriculture’s common practices include smart farming for sustainable agriculture and smart crop rotations that mitigate issues and challenges related to weeds, plant disease, insects, and other pests.

Next-Generation IoT Based Smart Agriculture


The IoT system has advanced to develop certain arrangements in which each application is directly or indirectly linked with the context of the smart-cities concept. Such frameworks and collaborative applications can bring significant challenges and issues for IoT-based smart-cities systems. A few of the reliability challenges that have emerged in the IoT-based smart-cities framework are due to mobility issues in the transportation system; consequently, communication with vehicles is not reliable enough. Moreover, the presence of various sensor devices will cause some reliability difficulties regarding their failure. Some predetermined scenarios need communications between a massive number of smart devices, which are possibly disseminated at distinct geographical locations. The next-generation IoT frameworks are supposed to give a suitable platform that can investigate and incorporate the information emanating from various devices. Furthermore, the security and privacy aspects of such an IoT-based smart-cities system may be user-dependent information.

Next-Generation IoT Based Smart City


With the advancement of IoT-based applications, there has been an extraordinary expansion in the number of connected devices continuously gathering data and interfacing with the environment in which they are embedded. Such smart devices empower the advancement of new data analytical techniques that are capable of making smart applications more intelligent and useful. Because of the collaboration between various applications, there is a tremendous amount of information from which helpful information can be separated. A significant issue that must be confronted is the recurrent occurrence of similar data generated by several connected smart devices. Embedding machine learning techniques, equipped with neural networks and deep learning algorithms, would help to tackle such issues and challenges. This kind of solution may require the extensive use of computing and energy resources. However, next-generation IoT-based data analytic solutions must be robust, cost-effective, and use green technology.

Next-Generation IoT Based Data Analytics


  • IoT has already turned into a serious security concern that has drawn the attention of prominent tech firms and government agencies across the world. The hacking of baby monitors, smart fridges, thermostats, drug infusion pumps, cameras, and even the radio in your car is signifying a security nightmare being caused by the future of IoT. So many new nodes, being added to networks and the internet, will provide malicious actors with innumerable attack vectors and possibilities to carry out their evil deeds, especially since a considerable number of them suffer from security holes.
  • It is part of networking challenges, as the Internet is still not available everywhere at the same speed. The quality of signals collected by the sensors and their transmission over the Networks largely depend upon the routers, LAN, MAN, and WAN. These networks have to be well-connected through different technologies to facilitate quick and quality communication. But the number of connected devices is growing at a much higher rate than the network coverage, which creates monitoring and tracking problems.
  • IoT is growing in many different directions, with many different technologies competing to become the standard. This will cause difficulties and will require the deployment of extra hardware and software when connecting devices. Other compatibility issues stem from non-unified cloud services, diversities in firmware and operating systems among IoT devices. Some of these technologies will eventually become obsolete in the next few years, effectively rendering the devices implementing them useless. This is especially important, since in contrast to generic computing devices which have a lifespan of a few years, IoT appliances (such as smart fridges or TVs) tend to remain in service for much longer, and should be able to function even if their manufacturer goes out of service.


Internet of things (IoT) is one of the most useful and fastest developing popular technologies. Internet of Things is the concept in which the virtual world of information technology is connected to the real world of things. The technologies of the Internet of things sensors make our life become better, more comfortable and very sustainable.



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Written By : ARNAB DAN



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