Network Coding and Data Compression: Theory, Applications and Challenges

Maryann Simmons (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM043000

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In this book, new developments in network coding and data compression are examined. The first chapter proposes a new multipath transmission scheme that employs network coding at the source for rate-delay adaptation. The second chapter presents the theory, applications and challenges of a physical-layer network coding technique that promises significant improvement to the spectral efficiency and interference mitigation challenges in future heterogenous cellular and wireless networks.

In this third chapter, network and distributed turbo coding based HARQ protocol are examined for wireless broadcasting systems. The last three chapters included in this book present three models that are based on Data Envelopment Analysis (DEA) methodology to appropriately evaluate the efficiency of multicast energy and further minimizes energy transmission in wireless networks without affecting the overall network performance; the development of methods of experimental statistical modeling of physical laws and the cascade scheme of data compression in multimode fiber systems.
(Imprint: Nova)

Preface

Chapter 1
Network Coding at the Source: Exploiting Multipath Transmission for Rate-Delay Adaptation
(Pin-Yu Chen, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA)

Chapter 2
Physical Layer Network Coding for Heterogeneous Wireless Networks
(Wasiu Opeyemi Oduola, Xiangfang Li, Lijun Qian, and Deepak Kataria, Electrical and Computer Engineering Department, Prairie View A& M University, Texas A& M University System, Prairie View, TX, USA, and others)

Chapter 3
Network and Distributed Turbo Coding Based HARQ Protocol for Wireless Broadcasting System
(Kui Xu, Wei Xie, Youyun Xu, Dongmei Zhang, Wenfeng Ma, College of Communications Engineering, PLA University of Science and Technology, Nanjing, China, and others)

Chapter 4
Minimum Energy Multicast in Wireless Networks: Empirical Study of Coded Packet Model
(Adeyemi Abel Ajibesin, Neco Ventura, Department of Electrical Engineering, University of Cape Town, South Africa, and others)

Chapter 5
Modeling of Physical Laws by Compressed Experimental Data
(Igor Grabec, Amanova Ltd, Ljubljana, Slovenia)

Chapter 6
Cascade Scheme of Data Compression in Multimode Fiber Systems
(D.V. Svistunov, St.-Petersburg State Polytechnic University, St-Petersburg, Russia)

Index

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