A Study on Protocol Comparison for Energy-Efficient Network Configuration in Mobile Edge Computing

Among the Internet of Things (IoTs) devices, when mobile user equipments (MUEs) such as smart phones or laptops that utilize direct Internet services increase, there is a problem of service delay due to network load when sending data to directly connecting. In order to solve this, Mobile Edge Computing (MEC), which is trying to solve the service delay problem by providing services in the network edge area, which is an intermediate area between Internet services and MUEs, is attracting attention. Among the many limitations of MEC, due to the characteristics of battery-powered MUEs, there is a need for an energy-efficient wireless network configuration in an energy-limited environment. A variety of studies have been conducted in the field of Wireless Sensor Networks (WSNs) to configure multiple nodes and energy-efficient wireless networks in an energy-limited environment, as in the MEC environment. In this paper, we propose a method of applying cluster-based LEACH (low energy adaptive clustering hierarchy) and chain-based PEGASIS (Power-Efficient Gathering in Sensor Information Systems) to MEC environments among typical WSN routing protocols. Simulation results show that the proposed network configuration can increase the network life compared to the existing configuration that directly connects to the MEC.