## 3 Related Work
It is very important to analyze the limitations of data privacy in term of security to increase network trust. The specified location contains RFID and information recognition data that can be used to easily track and minimize such cases. Such research can support elderly people by providing technology to enable safe homes where they can reside safely, effectively and, most importantly, comfortably in a monitored environment with the ability to continuously alert healthcare units and their family members in the event of alert signals [28; 29; 30]. Many researchers have suggested health-related devices to help society that may prove beneficial for the development of a smart healthcare system. Various types of pulse sensors have been developed for different applications. A chest-worn platform based on a wrist sensor is considered one of the most comfortable systems for the long term [31]. Photoplethysmography (PPG) sensors function using LED relay lights inside arteries to measure pulse variation and the rate and flow of blood oxygen in a form of a small wearable wrist sensor [32]. Figure 2: IoT framework for healthcare systems. Pressure sensors also support health care by manually measuring radial pulse using fingers, as depicted in Figure 3; the sensor is placed close against the wrist, and the pulse is measured to achieve a waveform. The authors of [33] proposed and verified a pressure sensor that is highly sensitive and flexible for the detection of pulse, which was found to provide satisfactory results. One drawback of the proposed sensor is that with increased sensitivity, noise is also increased due to the motion of the wearer. The use of an RF array based on an eccentric pulse sensor has also been proposed to measure pulse at various locations on the wrist, although noise is an issue due to motion [34]. Respiratory rate and breath count per minute can also be used in healthcare applications to identify various respiratory-related issues, such as lung cancer, panic attacks, tuberculosis, asthma, etc. The importance of respiratory rate in the field of health care has led to the development of many sensors, such as a nasal sensor relying on a thermistor [35]. The authors of [36] developed an optical base sensor that is sufficiently sensitive to measure vibrations arising from respiration. The proposed sensor was only verified in one test but was found to be feasible for all conditions in further tests. The authors of [37] developed a pressure sensor based on two plates containing capacitive and time-of-breathing plates that expand and contract during exhalation and inhalation, respectively. The authors reported a confidence of 94-95% in respiratory rate calculations compared to a nasal sensor. The authors of [38; 39; 40] suggested the use of a stretch sensor to measure respiratory rate based on tensile force and stretching during inhalation. The authors of [38] introduced a sensor based on a ferroelectric polymer that generates a charge when tensile pressure is applied, acting as a transducer. The authors of [41] suggested a body temperature sensor based on a positive coefficient of temperature, the most common of which a negative coefficient or thermistor sensor. The authors of [42] suggested that temperature can be accurately detected with using sensor technology embedded in textiles. However, wearable sensors designed for continuous and non-spreading blood pressure (BP) detection remain a challenge in the domain of health care. A number of attempts have been made to achieve accurate estimation of BP using pulse train duration [43; 44; 45; 46], which is the duration of pulse between the heart and other areas, such as radial arteries or earlobes. The authors of [47] attempted to measure this property between the wrist and ear, whereas the authors of [48] attempted to calculate pulse train duration between the fingertips and palm. A sensor measuring the level of  
Figure 3: Proposed IoT-dependent model for healthcare systems. oxygen was implemented using pulse oximetry sensors.