## 2 Background & Current Research
(2019) outlined a step-by-step procedure for introducing moving targets via real-time video streaming, classifying them into specified groups based on image-based characteristics, and then successfully tracking them. The resulting system defines the objects of interest, rejects the state of the background, and constantly observes the long distances and periods, despite obstructions. It also notes any changes in appearance and dismissal of the moving target. Moreover, a method for Internet-of-Things-aware Process Modelling, which utilizes UML use cases and an existing BPMN-based notation that is IoT-aware, was presented by [PERSON] and [PERSON] (2019). Moreover, alternative approaches to consolidating WSNs into the Internet, and a summary of possible challenges that should be addressed soon, were evaluated by [PERSON] et al. (2019). This work unveiled that the denouements currently developed on the Internet are not appropriate for the resources of the narrow sensor node, and therefore, new  
Figure 1: Major related researches have been made throughout time. mechanisms should be produced to conform to the potentialities and restrictions of WSNs. Integrated research on connectivity and energy-saving aspects and solutions of the IoT in the use of various wireless radio access technologies was presented by [PERSON] et al. [30]. It also discusses the possible issues of the future use of IoT. Furthermore, a human vital sign monitoring system that comprises the measurement of body temperature and pulse rate of patients from remote locations was presented by [PERSON] et al. [31]. This system occupies certain features, such as minor intrusiveness to the users, and helps both caretakers and physicians by providing them with leisure in taking care of patients. In more recent work in the field, between 2018 and 2020, initially, for advanced scalable Media-based smart Big Data on Intelligent Cloud Computing systems, [PERSON] et al. [32] suggested an effective algorithm (3D, Ultra HD). Performance evaluations show that their suggested approach outperforms the traditional HEVC standard. According to the authors, this suggested solution might be utilized and integrated into HEVC as Smart Big Data without breaking the standard. Moreover, [PERSON] et al. [33] developed a cloud-based authentication protocol for e-health care monitoring systems, which provides a secure platform for patients. With this proposed system, the patients-users can obtain the best medical facilities and treatment from doctors through their mobile phones without physically visiting the hospitals. Additionally, the authors study the security aspects of their proposal by using a popular automated pro-verify tool. Furthermore, [PERSON] et al. [34] put forth a B5G architecture that makes use of the low-latency, high-bandwidth capabilities of the 5G network to identify COVID-19 using chest X-ray or CT scan images and created a mass surveillance system to track social distance, mask use, and body temperature. In addition, to study the security aspect of their proposal, they used blockchain technology to ensure the security of healthcare data. In another work, for applications involving health monitoring, [PERSON] et al. [35] proposed a brand-new fog computing architecture built on a gigabit passive optical network (GPON) access network. For their proposal, they developed an Energy-Efficient Fog Computing (EEFC) model by using Mixed Integer Linear Programming (MILP) to optimize the number and location of fog devices at the network edge to process and analyze health data for energy-efficient fog computing. [PERSON] et al. 's [36] research focused on healthcare using the IoT in real-time notification with the use of fog computing, which handles all the computing and aids clinicians in fully comprehending the patient's disease. The tools assist those who have trouble understanding their condition and what they should do. A new computer paradigm, called fog computing, has developed since it first came into usage.