Correlation-Aware Machine Selection for M2M Data Gathering in Cellular Networks
Journal
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Pages
1184-1189
Date Issued
2015-09
Author(s)
Abstract
In machine-to-machine communications, several machines located close to one another can form a cluster to leverage spatial reuse gains and energy savings. We investigate a machine selection algorithm where only a machine in each cluster transfers its data to the cellular user via device-to-device communication and then the cellular user forwards it to the base station. Unlike the previous works that focus on data rate or channel condition as the selection metrics, this paper proposes a correlation-aware selection algorithm which maximizes the joint entropy extracted from the data delivered from the selected machines. Our evaluation results show the proposed selection scheme reaps a significant gain and is near-optimal. © 2015 IEEE.
SDGs
Other Subjects
Automation; Energy conservation; Cellular network; Cluster transfer; Device-to-Device communications; Evaluation results; Machine selection; Machine-to-machine communications; Selection algorithm; Selection scheme; Radio communication
Type
conference paper