lanke pallavi (8 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 152 pp. Englisch.

Taschenbuch. Condición: Neu. Develop Mobility Management Techniques in Mobile Cloud Computing | For Next Generation Networks | Lanke Pallavi (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204725437 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 152 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.