DocumentCode
124726
Title
Mobile cloud computing based energy efficient offloading strategies for femtocell network
Author
Mukherjee, Arjun ; Gupta, Puneet ; De, Debashis
Author_Institution
Dept. of Comput. Sci. & Eng., West Bengal Univ. of Technol., Kolkata, India
fYear
2014
fDate
Feb. 27 2014-March 1 2014
Firstpage
28
Lastpage
35
Abstract
Femtocell is a low power base station used to expand the capacity of mobile network. However when hundreds or thousands of femtocells operate together the total power consumption of the mobile network increases considerably. Mobile cloud computing is a technology that reduces the power consumption of mobile devices as well the mobile network. In this paper mobile cloud computing based offloading strategies are proposed for significant energy saving of a femtocell device. Three cases are presented where either data processing, or data encryption and hardware authentication or both are offloaded to the cloud. The power consumption models of the femtocell in these cases are demonstrated in this paper. Simulation results present that the proposed cases reduce the power consumption of the femtocell from 12.27-15.46%, 4.09-5.15% and 8.18-10.31% respectively.
Keywords
cloud computing; energy conservation; femtocellular radio; mobile computing; telecommunication computing; data encryption; data processing; energy efficient offloading strategies; energy saving; femtocell network; hardware authentication; low power base station; mobile cloud computing; mobile network; Authentication; Cloud computing; Encryption; Hardware; Mobile communication; Power demand; Radio frequency; battery life; femtocell; mobile cloud computing; offloading; power consumption;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications and Innovations in Mobile Computing (AIMoC), 2014
Conference_Location
Kolkata
Type
conf
DOI
10.1109/AIMOC.2014.6785515
Filename
6785515
Link To Document