Novel Multi-Channel Energy Harvesting Scheme for Dynamic Resource Allocation in Mobile Edge Computing systems

Internet of things (IoT) devices are currently increased in a massive count, wherein to reduce the number of devices on edge computing regions are mandatory. Most of the IoT services and devices require continuous internet connection, optimum storage, device security etc. The currently developing 5G network comprises Quality of Services (QoS) as an important factor in Mobile Edge Computing (MEC) networks. In order to achieve high QoS requirements, the computational resources allocation mechanism is altered. The proposed system is focused on providing a convex optimization mechanism for meeting the requirement of MEC technology as wireless, providing the service without degradation of quality of experience and quality of service. The presented system develops the 5G network configuration with Mobile Edge computation process with less blockages, higher security and focus on dynamic resource allocation mechanism. To improve the proposed work, energy is considered as the parameter to optimize the energy harvesting time and further the convex optimization method is used.