This timely book is a comprehensive treatment of managing mobility in wireless networks. Significant new insight is also provided into solutions to file allocation problems, specifically data replication, faced in distributed database systems by Computer Scientists. Some of the solutions are applications from the general facility location problems in Operations Research. The authors thoroughly investigate replication for hierarchical mobility management where the underlying network forms a tree-like structure. Various problem formulations are considered that provide new insight into more comprehensive solutions. The off-line replication problem is reduced to problems in discrete location theory for which efficient dynamic programming solutions exist for tree networks. To solve the on-line replication problem, a unified framework is established that provides unique visual representation of the overall solution structure. This framework not only demonstrates the correspondence between two previously proposed on-line algorithms but also provides the basis for new algorithms and expands the applicability of the original problem formulation. All algorithms derived in this book have been implemented and simulated using realistic traffic models. Their performance is compared with previously proposed algorithms. Mobility Management In Wireless Networks: Data Replication Strategies and Applications is an excellent reference for engineers, computer scientists, operations researchers and others working in mobility management as well as in related fields including distributed database systems, data management and facility location.
|Mobility management||p. 7|
|Off-line replication||p. 59|
|On-line replication||p. 59|
|Computer simulations||p. 127|
|Table of Contents provided by Blackwell. All Rights Reserved.|
Series: Ercoftac S
Audience: Tertiary; University or College
Number Of Pages: 166
Published: 31st May 2004
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 23.5 x 15.5 x 1.27
Weight (kg): 0.95