Mobile devices are the primary communication tool in day to day life of the people. Nowadays, the enhancement of the mobile applications namely IoTApps and their exploitation in various domains like healthcare monitoring, home automation, smart farming, smart grid, and smart city are crucial. Though mobile devices are providing seamless user experience anywhere, anytime, and anyplace, their restricted resources such as limited battery capacity, constrained processor speed, inadequate storage, and memory are hindering the development of resource‐intensive mobile applications and internet of things (IoT)‐based mobile applications. To solve this resource constraint problem, a web service‐based IoT framework is proposed by exploiting fuzzy logic methodologies. This framework augments the resources of mobile devices by offloading the resource‐intensive subtasks from mobile devices to the service providing entities like Arduino, Raspberry PI controller, edge cloud, and distant cloud. Based on the recommended framework, an online Repository of Instructional Talk (RIoTalk) is successfully implemented to store and analyze the classroom lectures given by faculty in our study site. Simulation results show that there is a significant reduction in energy consumption, execution time, bandwidth utilization, and latency. The proposed research work significantly increases the resources of mobile devices by offloading the resource‐intensive subtasks from the mobile device to the service provider computing entities thereby providing Quality of Service (QoS) and Quality of Experience (QoE) to mobile users.

中文翻译：

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用于移动资源扩充的基于Web服务的物联网框架

移动设备是人们日常生活中的主要通信工具。如今，增强移动应用程序（IoTApps）及其在医疗监控，家庭自动化，智能农业，智能电网和智能城市等各个领域的开发至关重要。尽管移动设备可随时随地提供无缝的用户体验，但其受限的资源（如电池容量有限，处理器速度受限，存储空间不足和内存不足）阻碍了资源密集型移动应用程序和物联网（IoT）的发展。基于移动的应用程序。为了解决此资源约束问题，通过利用模糊逻辑方法，提出了一个基于Web服务的IoT框架。该框架通过将资源密集型子任务从移动设备卸载到服务提供实体（如Arduino，Raspberry PI Controller，边缘云和远程云）来增加移动设备的资源。根据推荐的框架，成功地建立了在线教学演讲资料库（RIoTalk），以存储和分析我们研究站点中教师提供的课堂讲义。仿真结果表明，能耗，执行时间，带宽利用率和等待时间都大大减少了。拟议的研究工作通过将资源密集型子任务从移动设备卸载到服务提供商的计算实体，从而显着增加了移动设备的资源，从而为移动用户提供了服务质量（QoS）和体验质量（QoE）。