DocumentCode
266949
Title
iCoMe: A novel incentivized cooperative mobile resource management mechanism
Author
Shah-Mansouri, Hamed ; Wong, Vincent W. S.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
4996
Lastpage
5001
Abstract
In this paper, we present a novel cooperative resource management mechanism in mobile cloud computing environment. This mechanism is based on cooperation between mobile devices using their short range radio technology such as WiFi with the goal of maximizing the revenue of the cellular service provider. Users with poor cellular link quality connect with nearby devices through their WiFi interface. The service provider provides incentives to mobile devices to motivate them to contribute in such cooperative scheme. We first formulate the resource management problem as a mixed integer linear programming model. The optimal solution has an NP-hard complexity. To tackle the complexity of the problem, we then propose iCoMe, which is an Incentivized Cooperative MobilE resource management mechanism. The resource management problem in iCoMe is solved distributively by the service provider and mobile devices. We prove that iCoMe has a polynomial time computational complexity. Simulation results confirm the close to optimal performance of iCoMe. Results also show that our proposed mechanism considerably increases the revenue of the service provider compared to non-cooperative schemes.
Keywords
cellular radio; cloud computing; computational complexity; cooperative communication; integer programming; linear programming; mobile computing; mobility management (mobile radio); wireless LAN; NP-hard complexity; WiFi interface; cellular service provider; iCoMe; incentivized cooperative mobile resource management mechanism; mixed integer linear programming model; mobile cloud computing environment; mobile devices; noncooperative schemes; polynomial time computational complexity; short range radio technology; Bandwidth; Complexity theory; IEEE 802.11 Standards; Mobile communication; Mobile handsets; Performance evaluation; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037597
Filename
7037597
Link To Document