## 1 Introduction  
Commonplace objects embedded with sensors and other technologies to gather and send data to other devices online form the IoT This development was helped along by machine learning, embedded systems, inexpensive sensors, and real-time analytics [1, 2]. Traditional wireless sensor networks, control systems, and other infrastructure are essential building blocks of the Internet of Things. The industrial, healthcare, agricultural, and transportation sectors are among the fastest-growing users of the IoT in Malaysia. The IoT industry in Malaysia was valued at RM9.7 billion (about USD 2.3 billion) in 2019 and is projected to reach RM37.1 billion (approximately USD 8.9 billion) by 2025, according to research by the Malaysian Communications and Multimedia Commission (MCMC) [3; 4]. The construction sector is only beginning to embrace the IoT, but this trend is expected to grow. Although the IoT is still in its infancy in Malaysia, its adoption is likely to explode over the next several years as more businesses see the opportunities it presents for cutting costs, increasing productivity, and differentiating themselves in the marketplace [5; 6]. According to [PERSON] & [PERSON] (2017), every company should make worker safety and security its top concern [7]. The advancement of the Internet of Things has established a new standard for risk-free construction methods. Its use may replace a separate accident prevention program and enhance an existing construction safety system. [PERSON] et al. (2018) and [PERSON] (2018) argued that it has aided corporations throughout the world in improving their workspaces, amassing more precise data, streamlining their operations, and increasing their productivity [8; 9]. The use of Internet of Things devices by workers in risky industries is not risk-free. Instead, they help managers cope with a range of hazards that could have been avoided. Through the use of the IoT, companies may monitor their employees' health and the safety of their working environment, both of which may help to lessen the occurrence of accidents. One feature of IoT software that might be used to monitor industrial gear is predictive maintenance [10; 11]. That way, problems with the networked gadgets could be spotted before they trigger a catastrophe. Predictive maintenance is useful because it helps organizations avoid problems in the future by acting on insights gained from studying the past [12; 13]. Instead of relying on human evaluation of data and reports, monitoring and analysis might be consolidated and made more comprehensive with the use of IoT technologies and data analytics [14; 15]. In the case of accidents, injuries, losses, or damages occurring during construction, a better system in place provides access to data that may assist in the monitoring and avoidance of such risks to the company. Organizing training courses for employees would be a great idea. A survey of the construction site might reveal any potential security threats. As a result, the IoT may be utilized to keep records and provide a safe workplace for workers. [PERSON] (2019) stated that data analysis and the use of this information assure the long-term safety of construction workers [16]. When employees feel safe in their work environment, they are less likely to experience injuries [17]. There is no doubting the need for setting up Internet of Things gadgets with environmental sensors that can identify any potential threat. But this may not be enough; therefore, existing studies propose employing networked sensors to identify risks and take preventative action [18; 19]. When improved IoT monitoring devices are in place, employees can rest assured that they are in a secure environment. The safety of the construction workers is ensured by the effective operation of all these linked devices in the case of an emergency [20; 21]. Regular inspections of company property and workers' health may help make construction sites safer [22]. This is now possible because of wearables and other forms of vital sign monitoring technology.