# Review of Monitoring and Control Systems Based on Internet of Things
## 2 Related Works
It analyzes 50 articles from 946 collected papers, focusing on issues of model accuracy, the development of data collection systems and the types of data used, and presents directions for future research in intelligent water quality monitoring. [PERSON] et al. in [30] discuss the growing problem of safe water shortages caused by population growth, pollution and climate change, highlighting the importance of monitoring water quality, especially in domestic use. Reviews the shortcomings of traditional laboratory water quality testing methods and the weaknesses of wireless sensor network (WSN)-based systems regarding energy management, data security, and communications coverage. The article presents an overview of current IoT-based water quality monitoring systems, focusing on monitoring parameters and smart sensors and design recommendations for more effective systems that can benefit from developments in IoT technologies to improve water quality in-home applications. [PERSON] et al. in [31] discusses the emerging field of IoT-based aquaculture, which is part of the 4.0 agriculture era but is lagging in many countries. A review of research published between May and December 2020 examines 30 international scientific papers on water quality monitoring in fish ponds. The article classifies research into five categories--latest research (2011-2020), aquaculture environments, research approaches, the most frequently monitored water quality parameters, and the forms of solutions provided--pointing to the dominance of freshwater aquaculture and the importance of parameters such as temperature and dissolved oxygen and pH in IoT monitoring systems. It also highlights the need for long-term experimental research to identify challenges and propose appropriate solutions. It highlights the importance of real-time monitoring as the most commonly used solution. [PERSON] et al. in [32] discuss the growing production challenges in the automotive industry and the increase in energy consumption, which lead to increased costs and greenhouse gas emissions, emphasizing the importance of efficient energy use. It presents various methods and mechanisms of energy management in a smart grid using communication technologies and protocols. It proposes the integration of electric vehicles with a smart electrical grid to charge and discharge energy and exchange information effectively. The article also discusses integration strategies, implementation of multi-agent systems to monitor energy flow and maintain grid stability, optimal scheduling of electric vehicle charging, and comparison of standard communication protocols in various scenarios. [PERSON] et al. in [33] present an overview of models of intelligent transport systems (ITS) with advanced traveller information systems (ATIS) and advanced road traffic management systems (ATMS) for intelligent transport. Describes GIS and IoT technologies in ITS, using sensors and detection algorithms worldwide. The ATIS model provides travellers with regional travel information, enabling them to make informed decisions about the best transport mode, route, time and cost. At the same time, ATMS includes real-time data management, vehicle detection and tracking, communications, variable message systems, traffic forecasting and dynamic motion control. The article discusses hardware components such as CCTV cameras, inductive loops, magnetometric, infrared, acoustic, ultrasonic, radar and GPS sensors in ATIS and ATMS systems. [PERSON] et al. in [34] discuss the role of technology in agriculture, paying attention to the growing demand for food and the difficulties associated with traditional agricultural methods, such as dependence on human labour, weather variability, and lack of knowledge and technology. It presents an overview of IoT-based solutions that can increase crop productivity, covering soil and plant health monitoring, smart irrigation, and real-time weather forecasting.