What is Top 6 Challenge Of IoT
The IoT provides many new opportunities to the industry and user in many application fields. Currently, however, the IoT itself lacks theory, technology architecture, and standards that integrate the virtual world and the real physical world in a unified framework.So following us in order to list the top 5 challenges of IoT.
IoT encompasses an extreme wide range of technologies. Also IoT involves an increasing number of smart interconnected devices and sensors (cam-eras, biometric, physical, and chemical sensors) that are often nonintrusive, transparent, and invisible.
As the communications among these devices are expected to happen anytime, anywhere for any related services, generally, these communications are in a wireless, autonomic, and ad hoc manner. In addition, the services become much more mobile, decentralized, and complex.
In IoT, data integrations over different environments are thus tough and will be supported by modular interoperable components. Also Infrastructure solutions will require systems to combine volumes of data from various sources and determine relevant features, to interpret data and show their relationships, to compare data to historical useful information, and support decision-making. Single reference architecture thus cannot be a blueprint for all applications. Heterogeneous reference architectures have to coexist in IoT.
Architectures should be open, and following standards, they should not restrict users to use fixed, end-to-end solutions.
IoT architectures should be flexible to cater for cases such as identification (RFID, tags), intelligent devices, and smart objects (hardware and software solutions).
IoT technology can be complex for variety of reasons. First, there are legacy heterogeneous architectures in the existing networking technologies and applications, e.g., different applications and environments need different networking technologies, and the ranges as well as other characteristics of cellular, wireless local area network, and RFID technologies are much different from each other.
Second, communication technologies, including fixed and mobile communication systems, power line communications, wireless communication, and short-range wireless communication technologies, for both fixed and mobile devices, either simple or complicated, should be low cost and with reliable connectivity.
At last, there are thousands of different applications, it is in natural to have different requirements on what parties need to communicate with each other, what kind of security solutions are appropriate, and so on.
To summarize, complexity and alternative technologies may introduce problems; unnecessary competition and deployment barriers in markets may also introduce problems; systems and communication mechanisms with unnecessary dependencies may block the migration of IoT systems to the most economic and efficient platforms. All the above may block IoT to connect as many “Things” as possible.
Smart devices with enhanced inter-device communication will lead to smart systems with high degrees of intelligence. Its autonomy enables rapid deployment of IoT applications and creation of new services. Therefore, hardware researches are focusing on designing wireless identifiable systems with low size, low cost yet sufficient functionality.
As the bandwidth of IoT terminals could vary from kbps to mbps from sensing simple value to video stream, requirements on hardware are diverging. However, two requirements have been nevertheless the essentials: one is the extremely low power consumption in sleep mode and the other is ultra-low cost.
Suppose the sleeping time over active time is one million, the leakage power of an IoT terminal shall at least be one million time less than that of active. It is so far impossible when an IoT terminal is sleeping and receiving RF signals. It will be even difficult when using advanced CMOS silicon with relatively more leakage power. Hardware and protocol code sign for sleeping has been thus the first hardware challenge of IoT.
Billions of IoT terminals will be used; the cost of an IoT terminal must be ultra-low. However, so far, there is no low cost positioning solution for IoT, especially the positioning precision of a short-range IoT terminal must be high.
In another way, not yet used very narrow spectrum band between two used bands may have to be used by future IoT. To use very narrow band with strong power neighbors, the cost of passive component will not be low and that will definitely be a potential challenge in the future.
Privacy and Security Challenge
Compared with traditional networks, security and privacy issues of IoT become more prominent. Much information includes privacy of users, so that protection of privacy becomes an important security issues in IoT.
Because of the combinations of things, services, and networks, security of IoT needs to cover more management objects and levels than traditional network security. Existing security architecture is designed from the perspective of human communication, may not be suitable and directly applied to IoT system. Using existed security mechanisms will block logical relationship between things in IoT.
IoT needs low-cost- and M2M-oriented technical solutions to guarantee the privacy and the security. In many use cases, the security of a system has been considered as a general feature. Related research shall focus on privacy control. Low cost, low latency, and energy-efficient cryptography algorithms and related flexible hardware will be essential for sensor or device.
Standards play an important role in forming IoT. A standard is essential to allow all actors to equally access and use. Developments and coordination of standards and proposals will promote efficient development of IoT infrastructures and applications, services, and devices. In general, standards developed by cooperated multi-parties, and information models and protocols in the standards, shall be open.
The standard development process shall also be open to all participants, and the resulting standards shall be publicly and freely available. In today’s network world, global standards are typically more relevant than any local agreements.
For a mature application, its business model and application scenario are clear and easy to be mapped into technical requirements. So the developers do not need to spend much time on business-related aspects. But for IoT, there are too many possibilities and uncertainties in business models and application scenarios. It is thus inefficient in terms of business-technology alignment, and one solution will not fit possibilities for all. The IoT is a challenging traditional business model.
Although small-scale applications have been profitable in some industries, it is unsustainable when extended to other industries. In the early stage of IoT development, business aspects should be considered to reduce the risk of failure.