Energy efficient user grouping and scheduling for collaborative mobile cloud

9Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In order to fully exploit the high speed broadband multimedia services, prolonging the battery life of user equipment is critical, especially for the current smartphones. In this work, we investigate the problem of designing a content sharing collaborative mobile cloud (CMC) via user cooperation to reduce the energy consumption at terminal side. Given a group of users interested in downloading the same content from an operator, a grouping and scheduling based algorithm is proposed in order to select the proper data receiver in each scheduling time. The objective of the presented algorithm is to obtain energy efficiency as well as user fairness among the members of CMC. The proposed scheme can take both base station and terminal aspects into consideration and it is shown that the significant energy saving performance can be achieved without scarifying and drowning the battery of any terminal. © 2014 IEEE.

Cite

CITATION STYLE

APA

Chang, Z., Ristaniemi, T., & Niu, Z. (2014). Energy efficient user grouping and scheduling for collaborative mobile cloud. In 2014 IEEE International Conference on Communications, ICC 2014 (pp. 4281–4286). IEEE Computer Society. https://doi.org/10.1109/ICC.2014.6883993

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free