Journal of Ubiquitous Computing and Communication Technologies (UCCT) (2021) Vol.03/ No.01 Pages: 33-42 https://www.irojournals.com/jucct/ DOI: https://doi.org/10.36548/jucct.2021.1.004 33 ISSN: 2582-337X Submitted:22.02.2021 Revised: 25.03.2021 Accepted: 20.04.2021 Published: 3.05.2021 Optimized Mobile Edge Computing Framework for IoT based Medical Sensor Network Nodes Dr. Jennifer S. Raj, Department of ECE, Gnanamani College of Technology, Namakkal, India. jennifer.raj@gmail.com Abstract: Edge computing is a new computing paradigm that is rapidly emerging in various fields. Task completion is performed by various edge devices with distributed cloud computing in several conventional applications. Resource limitation, transmission efficiency, functionality and other edge network based circumstantial factors make this system more complex when compared to cloud computing. During cooperation between the edge devices, an instability occurs that cannot be ignored. The edge cooperative network is optimized with a novel framework proposed in this paper. This helps in improving the efficiency of edge computing tasks. The cooperation evaluation metrics are defined in the initial stage. Further, the performance of specific tasks are improved by optimizing the edge network cooperation. Real datasets obtained from elderly people and their wearable sensors is used for demonstrating the performance of the proposed framework. The extensive experimentation also helps in validating the efficiency of the proposed optimization algorithm. Keywords: Wearable sensor, Mobile edge computing, Edge cooperative network, Optimization, Cloud Computing, Edge computing 1. Introduction In industrial Internet of Things (IoT) based settings, wearable sensors act as the primary data sources. At the edge network significant power consumption takes places by a large number of wearable sensors due to their computational power [1]. Distributed deep learning, big data analytics and Internet of Vehicles (IoV) are some of the emerging fields in which the edge computing paradigm plays a major role. When compared to the traditional cloud computing schemes, in terms of privacy and security, edge computer offers improved performance [2]. Three main architectures, namely mobile edge computing (MEC), fog computing and cloudlets