Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT.

Fangni Chen,Zhengwei Ni,Yu Zhang,Jingyu Hua,Anding Wang

doi:10.3390/s21144798

Abstract

With the increasing deployment of IoT devices and applications, a large number of devices that can sense and monitor the environment in IoT network are needed. This trend also brings great challenges, such as data explosion and energy insufficiency. This paper proposes a system that integrates mobile edge computing (MEC) technology and simultaneous wireless information and power transfer (SWIPT) technology to improve the service supply capability of WSN-assisted IoT applications. A novel optimization problem is formulated to minimize the total system energy consumption under the constraints of data transmission rate and transmitting power requirements by jointly considering power allocation, CPU frequency, offloading weight factor and energy harvest weight factor. Since the problem is non-convex, we propose a novel alternate group iteration optimization (AGIO) algorithm, which decomposes the original problem into three subproblems, and alternately optimizes each subproblem using the group interior point iterative algorithm. Numerical simulations validate that the energy consumption of our proposed design is much lower than the two benchmark algorithms. The relationship between system variables and energy consumption of the system is also discussed.

Highlights

The variables that need to be optimized are all coupled in P1, we find that the CPU frequency f is the least relevant variable compared to other variables
As shown in the figure, the algorithm converges after five iterations under varying L. This proves the effectiveness of our algorithm.The convergence curves indicate that the energy consumption increases with computation task size L
We investigate the wireless information transmission and energy transfer of a novel simultaneous wireless information and power transfer (SWIPT)-Mobile Edge Computing (MEC) enabled WSN-assisted IoT System

Summary

Introduction

The 5G enabled Internet of Things (5G-IoT) [1,2,3,4] connects the real world with the internet world and human civilization is currently transforming from informatization to intelligence. The current terminal devices are equipped with high-performance hardware, it is still difficult to meet the needs of computing intensive tasks, especially in the case of ensuring low power consumption and low latency. With the help of MEC, terminal devices can upload part of or all of the computing tasks to the edge computing platform for computing so as to reduce their own computing pressure and energy consumption, improve the computing efficiency and performance and bring better QoS [16,17,18]. Yang et al [20] analyzed the main features of MEC in the context of 5G and IoT and presented several fundamental key technologies that enable MEC to be applied in 5G and IoT

Objectives

Results

Discussion

Conclusion