One of the appealing applications of smart home is remote monitoring of vital signs, such as heart and respiratory, which has gained more attention during the last two decades. The recent developments in IoT, sensing devices, and smart technologies increased the demand for such technology due to the need for devices that can continuously monitor physiological signals and offer further analysis and interpretations. Real-time monitoring systems record, measure, and monitor the vital sign activity for several reasons, such as early detection of heart problems, patient watching and athlete’s issues, This requires the use of MAC (medium access control) protocol which helps in the identification of several issues in the operation of medical sensors, such as traffic identification and sensing, collision detection, and the availability of free channels. In this paper, a fuzzy analytic hierarchy process (AHP)-based algorithm is proposed for the performance analysis of several MAC protocols that are intended for monitoring medical signal in the human body, such as vital signals. Five different protocols were analyzed according to several performance metrics using a quantitative ranking based on the proposed algorithm. The work concludes by suggesting a new protocol that combines the two most efficient ones and taking advantage of the features of each.

智能家居的吸引人的应用之一是对生命体征（例如心脏和呼吸道）的远程监控，在过去的二十年中，远程监控已受到越来越多的关注。物联网，传感设备和智能技术的最新发展，由于对可连续监测生理信号并提供进一步分析和解释的设备的需求增加了对该技术的需求。实时监控系统出于多种原因记录，测量和监控生命体征活动，例如早期发现心脏问题，观察患者和运动员的问题。这需要使用MAC（媒体访问控制）协议来帮助识别医疗传感器操作中的几个问题，例如交通识别和传感，碰撞检测以及空闲通道的可用性。本文提出了一种基于模糊层次分析法的算法，对几种MAC协议进行性能分析，这些协议旨在监测人体的医学信号，例如生命信号。根据提出的算法，使用定量排名，根据几种性能指标分析了五种不同的协议。最后，工作提出了一种新的协议，该协议结合了两个最有效的协议并利用了每个协议的功能。根据提出的算法，使用定量排名，根据几种性能指标分析了五种不同的协议。这项工作的结尾是提出了一个新的协议，该协议结合了两个最有效的协议并利用了每个协议的功能。根据提出的算法，使用定量排名，根据几种性能指标分析了五种不同的协议。最后，工作提出了一种新的协议，该协议结合了两个最有效的协议并利用了每个协议的功能。