文章基本信息

标题：BTS ALGORITHM: AN ENERGY EFFICIENT MOBILITY MANAGEMENT IN MOBILE CLOUD COMPUTING SYSTEM FOR 5G HETEROGENEOUS NETWORKS
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作者：L. PALLAVI ; A. JAGAN ; B. THIRUMALA RAO 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：1
页码：48-60
出版社：Journal of Theoretical and Applied
摘要：As of late, cell phones are turning into the essential stages for each client who dependably meander around and get to the distributed computing applications. Mobile Cloud Computing (MCC) consolidates the both portable and distributed computing, which gives ideal administrations to the versatile clients. In cutting edge versatile conditions, for the most part because of the immense number of portable clients in conjunction with the little cell measure and their convenient information's, the impact of portability on the system execution is reinforced. In this paper, we propose an energy efficient mobility management in mobile cloud computing (E2M2MC2) system for 5G heterogeneous networks. The proposed E2M2MC2 system use back track searching (BTS) algorithm for congestion prediction and selection of optimal routes to manage user mobility. The simulation results shows that the proposed E2M2MC2 system helps in minimizing delay, packet loss rate and energy consumption in a heterogeneous network.
关键词：Mobile Cloud Computing; Mobility Management; Heterogeneous Network; Best Route; Energy Efficient; Back Track Search; distributed follow me cloud controller