TY - GEN
T1 - Saving Energy in Mobile Devices Using Mobile Device Cloudlet in Mobile Edge Computing for 5G
AU - Sigwele, Tshiamo
AU - Pillai, Prashant
AU - Hu, Yim Fun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/30
Y1 - 2018/1/30
N2 - In the future, the next generation cellular networks like fifth generation (5G) will comprise of billions of devices with various applications running on the devices. These applications are computer intensive and drain a lot of battery when executed in the mobile device itself. Mobile Edge Computing (MEC) has been proposed to solve these problems by offloading computation tasks of an application to the edge server in the radio access network (RAN). The conventional MEC framework suffer greater delays which is not suitable for 5G. In this paper, a new MEC framework in heterogeneous networks (HetNet) called MECH is proposed where a mobile device with limited resources has an option of offloading some of its tasks to a group of nearby mobile devices while considering the transmission power, quality of service (QoS) and state of charge (SoC) of the mobile battery. The simulation results demonstrates that the proposed framework extend battery life and reduces delays compared to the traditional MEC paradigm.
AB - In the future, the next generation cellular networks like fifth generation (5G) will comprise of billions of devices with various applications running on the devices. These applications are computer intensive and drain a lot of battery when executed in the mobile device itself. Mobile Edge Computing (MEC) has been proposed to solve these problems by offloading computation tasks of an application to the edge server in the radio access network (RAN). The conventional MEC framework suffer greater delays which is not suitable for 5G. In this paper, a new MEC framework in heterogeneous networks (HetNet) called MECH is proposed where a mobile device with limited resources has an option of offloading some of its tasks to a group of nearby mobile devices while considering the transmission power, quality of service (QoS) and state of charge (SoC) of the mobile battery. The simulation results demonstrates that the proposed framework extend battery life and reduces delays compared to the traditional MEC paradigm.
UR - http://www.scopus.com/inward/record.url?scp=85047390286&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047390286&partnerID=8YFLogxK
U2 - 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.69
DO - 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.69
M3 - Conference contribution
AN - SCOPUS:85047390286
T3 - Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
SP - 422
EP - 428
BT - Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
A2 - Min, Geyong
A2 - Jin, Xiaolong
A2 - Yang, Laurence T.
A2 - Wu, Yulei
A2 - Georgalas, Nektarios
A2 - Al-Dubi, Ahmed
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017
Y2 - 21 June 2017 through 23 June 2017
ER -