Journal of Computer and Communications, 2019, 7, 47-61 http://www.scirp.org/journal/jcc ISSN Online: 2327-5227 ISSN Print: 2327-5219 DOI: 10.4236/jcc.2019.72004 Feb. 20, 2019 47 Journal of Computer and Communications Energy-Efficient MTC Data Offloading in Wireless Networks Based on K-Means Grouping Technique Juma Saidi Ally, Muhammad Asif, Qingli Ma Department of Information and Communication Engineering, University of Science and Technology of China, Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, Hefei, China Abstract Machine-type communication (MTC) devices provide a broad range of data collection especially on the massive data generated environments such as ur- ban, industrials and event-enabled areas. In dense deployments, the data col- lected at the closest locations between the MTC devices are spatially corre- lated. In this paper, we propose a k-means grouping technique to combine all MTC devices based on spatially correlated. The MTC devices collect the data on the event-based area and then transmit to the centralized aggregator for processing and computing. With the limitation of computational resources at the centralized aggregator, some grouped MTC devices data offloaded to the nearby base station collocated with the mobile edge-computing server. As a sensing capability adopted on MTC devices, we use a power exponential function model to compute a correlation coefficient existing between the MTC devices. Based on this framework, we compare the energy consumption when all data processed locally at centralized aggregator or offloaded at mo- bile edge computing server with optimal solution obtained by the brute force method. Then, the simulation results revealed that the proposed k-means grouping technique reduce the energy consumption at centralized aggregator while satisfying the required completion time. Keywords Machine-Type Communication, Correlation, Data Offloading, Grouping Technique, Differential Entropy, Power Exponential Function 1. Introduction Market trends of Machine-Type Communication (MTC) devices deployments How to cite this paper: Ally, J.S., Asif, M. and Ma, Q.L. (2019) Energy-Efficient MTC Data Offloading in Wireless Networks Based on K-Means Grouping Technique. Journal of Computer and Communications, 7, 47-61. https://doi.org/10.4236/jcc.2019.72004 Received: October 17, 2018 Accepted: February 17, 2019 Published: February 20, 2019 Copyright © 2019 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access