###### Abstract  
With the emerging Internet of Things (IoT) technologies, the smart city paradigm has become a reality. Wireless low-power communication technologies (LPWAN) are widely used for device connection in smart homes, smart lighting, mitering, and so on. This work suggests a new approach to a smart parking solution using the benefits of narrowband Internet of Things (NB-IoT) technology. NB-IoT is an LPWAN technology dedicated to sensor communication within 5G mobile networks. This paper proposes the integration of NB-IoT into the core IoT platform, enabling direct sensor data navigation to the IoT radio stations for processing, after which they are forwarded to the user application programming interface (API). Showcasing the results of our research and experiments, this work suggests the ability of NB-IoT technology to support geolocation and navigation services, as well as payment and reservation services for vehicle parking to make the smart parking solutions smarter. IoT; IoT architecture; LPWAN; NB-IoT; LTE-M; 5G; smart parking; LTE channel +
Footnote †: journal: _Future Internet_  
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traditional object-oriented view, everything is an object, in the IoT paradigm, everything is a smart object, meaning that objects can communicate over the Internet or via radio communication technologies [2]. IoT smart objects may have one or more embedded sensors to sense or, in other words, capture massive amounts of data. The data types can be divided into 3 groups: status data (the raw and basic data on the state of an end device), automation data (created by automated systems such as smart thermostats), and geographical location data (frequently used in manufacturing and logistics). The data sensing services are located on top of the IoT infrastructure. These smart sensors can be bought or rented through middle-ware service providers who interconnect sensors to back-end software systems. The selection between the existing IoT solutions and the successful deployment of sensors are challenging tasks. The best choices for IoT networks are wireless sensors, but as all are powered using batteries, they are constrained in terms of their energy. Hence, another challenge is power maintenance for tasks such as data sampling and radio communication processes. Specifically, when the sensors are installed in remote and distant areas, inside buildings, or underground, the concern of maintaining sensor power for longer periods gains importance. One way to prolong the network lifetime is to conserve the energy by reducing the costs for data sampling and processing, as well as by finding feasible ways to harvest energy from the environment. The type of radio communication technology used for sensor communication can also have a huge impact on the power consumption of IoT devices. The development of industrial and business models is lagging behind the technological innovations, so the very recent advancements in information technology or IT have accelerated the growth of inventive business models. IoT technology enables hybrid business models with digital and physical systems, some of which are widely used, such as in e-commerce, crowdsourcing, and crowdfunding. These new business models deeply rely on the enhancement and optimization of the user experiences to support customer responsiveness [1]. The fast-evolving concept of the Internet of Things represents a definitive future direction and strategic path to adopting the most advanced information communication technology infrastructures with futuristic architectures. IoT systems in this sense do not just comprise millions of computing machines and software programs, but additionally billions of devices such as sensors, actuators, and robots and trillions of digitized and sensitive small objects.