Develop Mobility Management Techniques in Mobile Cloud Computing - Pallavi, Lanke;Dara, Suresh;Madhu Babu, Ch.
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Recently, mobile devices are becoming the primary platforms for every user who always roam around and access the cloud computing applications. Mobile cloud computing (MCC) combines the both mobile and cloud computing, which provides optimal services to the mobile users. In next-generation mobile environments, mainly due to the huge number of mobile users in conjunction with the small cell size and their portable information, the influence of mobility on the network performance is strengthened. In this, we propose an energy efficient mobility management in mobile cloud computing (E2M2MC2)…mehr

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Produktbeschreibung
Recently, mobile devices are becoming the primary platforms for every user who always roam around and access the cloud computing applications. Mobile cloud computing (MCC) combines the both mobile and cloud computing, which provides optimal services to the mobile users. In next-generation mobile environments, mainly due to the huge number of mobile users in conjunction with the small cell size and their portable information, the influence of mobility on the network performance is strengthened. In this, we propose an energy efficient mobility management in mobile cloud computing (E2M2MC2) system for 5G heterogeneous networks. In this book, the major improvement in proposed E2M2MC2 system was proposed ERMO2 (Elective Repeat Multi-Objective Optimization) Algorithm BTS (BackTrack Searching) Algorithm and CHS (Cluster Head Selection) Algorithm, and demonstrated all results by comparing with few existing known algorithms for showing better improvement of our proposed approaches.
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Autorenporträt
Lanke Pallavi is currently working as an Assistant Professor in the Department of CSE,  B V Raju Institute of Technology, Narsapur, India. She has completed her Ph.D. from K L Deemed to be University, India in 2021. She has good research publications in reputed journals. Her main research interests are Mobile Cloud Computing, and Machine Learning.