Tools and Platforms for Developing IoT Systems

The internet of things (IoT) transforms the world in many ways. It combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. A typical IoT system consists of IoT device, IoT gateway, IoT platform, and IoT application. Developing these elements and delivering an IoT system for fulfilling business requirements encompasses many activities to be executed and is not straightforward. To expedite these activities, some major vendors provide software development kits (SDK), integrated development environments (IDE), and utility tools for developing software to be executed on IoT devices/gateways. Moreover, these vendors utilize their cloud platforms to provide fundamental services, such as data storage, analytics, stream processing, for developing IoT systems. These vendors also developed IoT specific cloud-based services, such as connectivity and device management, to support IoT system development. This chapter presents an overview of tools and platforms provided by five major vendors.

Research on Design and Application of National Fitness System

In order to improve the physical quality of the national people, a national fitness system is designed and applied to practice. Design the overall architecture of the national fitness system, including the perception layer, network layer, and application layer. The perception layer mainly uses Internet of Things gateway, central machine, wireless perception node, and fitness data dashboard to obtain fitness data. The network layer mainly uses WiFi, 4G, Ethernet, and other public networks to transmit fitness data, fitness guidance data, and equipment operation and maintenance data. The application layer provides data storage, device management, user management, and client services. On this basis, through the collection of users’ fitness data rating data, the data are transformed into fitness data rating matrix, and the matrix is analyzed and calculated to realize the intelligent recommendation of fitness data and complete the design of national fitness data recommendation algorithm. The test results show that the system can meet the requirements of normal use, good compatibility, and user score is high and has high practical application value.

Network Management System for IoT Based on Dynamic Systems

The Internet of Things (IoT) has the potential to transform the public sector by combining the leading technical and business trends of mobility, automation, and data analysis to dramatically alter the way public bodies collect data and information. Embedded sensors, actuators, and other devices that capture and transmit information about network activity in real-time are used in the Internet of Things to connect networks of physical objects. The design of a network management system for an IoT network is presented in this paper, which uses the edge computing model. This design is based on the Internet management model, which uses the SNMP protocol to communicate between managed devices, and a gateway, which uses the SOAP protocol to communicate with a management application. This work allowed for the identification and analysis of the primary network management system initiatives for IoT networks, in which there are four fundamental device management requirements for any deployment of IoT devices: provisioning and authentication, configuration and control, monitoring and diagnostics, and software updates and maintenance.

Web based Enhanced Interior Gateway Routing Protocol (EIGRP) on cisco router 2811 using cisco's Application Programming Interface (API)

Enhanced Interior Gateway Routing Protocol (EIGRP) is a routing protocol that can be used to determine the path of data to be sent. EIGRP can achieve goals and study interconnected networks to obtain useful information to determine the best path. EIGRP is only adopted by Cisco routers or can be called a Cisco Proprietary Protocol, which can only be used on Cisco router devices. Currently, the EIGRP routing configuration uses the command line. For this reason, a Website-based EIGRP system was created and can be accessed remotely (remotely) with the aim of providing freedom of access and not focusing on one device. Website-based EIGRP system was created by utilizing Cisco's API as a liaison between the programming language and Cisco Router 2811 software. Telnet utilization plays a very important role in creating a Website-based EIGRP System where Telnet can provide wider access in management. By visiting the host and port of the router, the EIGRP Website Based System can easily do this. The results of the test in this study indicate that the Website-based EIGRP system is proven to be able to configure, so that administrators can use it for device management of Cisco Router 2811.

Comparison of two platforms for distance learning students of Moscow Aviation Institute: Microsoft Teams and LMS Moodle

Microsoft Teams platform is a kind of messenger created on the basis of Microsoft Skype for Business in 2017. It implements the concept of a collaborative workspace and allows group members to organize joint online meetings, hold audio and video conferences and connect additional Microsoft services. Microsoft Teams implements the possibility of individual interaction between the teacher and the student through audio and video calls. In relation to the pandemic of coronavirus infection, on March 17, 2020, MAI completely switched to the distance learning mode. For the organization of distance educational process, LMS MAI website, based on the Moodle platform, is mainly used, but the range of its capabilities is limited. In order to expand opportunities and share the flow of students using the website for e-learning, many classes with students began to be held at Microsoft Teams. It has an intuitive interface and meets all the requirements of confidentiality and security: encryption, multi-factor authentication and device management are used to protect information; necessary protection mechanisms against unauthorized access are implemented. When this platform was studied a number of its advantages were identified compared to LMS Moodle platform, also there were system vulnerabilities correlated with LMS and suggestions to eliminate them.

Lightweight Cryptography for the Encryption of Data Communication of IoT Devices

We are at the beginning of the age of the Internet of things. Soon, we will be surrounded by smart homes, cities, and infrastructure. To achieve this vision, millions of devices will have to be able to communicate with each other. The demands for communication channels will increase significantly. An increasing amount of data will be transmitted with a requirement of minimal delay. The capacities of transmission systems can be quickly depleted. Building new communication channels is very time consuming but also financially demanding. To maximize existing infrastructure, we should pay attention today to the issue of transmitted data. One of the ways is to focus attention on reducing the volume of transmitted data. In this paper, we present a method of reducing the volume of data transmission between a server and an IoT device, focusing on the bandwidth, transmission security, and system resources of the IoT device. The required reduction is achieved by data compression and replacing the SSL/TLS cryptographic protocol with lightweight cryptography based on the Vernam cipher principle. The original SSL/TLS protocol is still used for device management needs only.

An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study

Information and communication technologies backbone of a smart city is an Internet of Things (IoT) application that combines technologies such as low power IoT networks, device management, analytics or event stream processing. Hence, designing an efficient IoT architecture for real-time IoT applications brings technical challenges that include the integration of application network protocols and data processing. In this context, the system scalability of two architectures has been analysed: the first architecture, named as POST architecture, integrates the hyper text transfer protocol with an Extract-Transform-Load technique, and is used as baseline; the second architecture, named as MQTT-CEP, is based on a publish-subscribe protocol, i.e. message queue telemetry transport, and a complex event processor engine. In this analysis, SAVIA, a smart city citizen security application, has been deployed following both architectural approaches. Results show that the design of the network protocol and the data analytic layer impacts highly in the Quality of Service experimented by the final IoT users. The experiments show that the integrated MQTT-CEP architecture scales properly, keeps energy consumption limited and thereby, promotes the development of a distributed IoT architecture based on constraint resources. The drawback is an increase in latency, mainly caused by the loosely coupled communication pattern of MQTT, but within reasonable levels which stabilize with increasing workloads.