Energy Efficient Cooperative Wireless Communication and Networks

NOTE EDITORE

Compared with conventional communications, cooperative communication allows multiple users in a wireless network to coordinate their packet transmissions and share each other's resources, thus achieving high-performance gain and better service coverage and reliability. Energy Efficient Cooperative Wireless Communication and Networks provides a comprehensive look at energy efficiency and system design of cooperative wireless communication.Introducing effective cooperative wireless communication schemes, the book supplies the understanding and methods required to improve energy efficiency, reliability, and end-to-end protocol designs for wireless communication systems. It explains the practical benefits and limitations of cooperative transmissions along with the associated designs of upper-layer protocols, including MAC, routing, and transport protocol.The book considers power efficiency as a main objective in cooperative communication to ensure quality-of-service (QoS) requirements. It explains how to bring the performance gain at the physical layer up to the network layer and how to allocate network resources dynamically through MAC/scheduling and routing to trade off the performance benefits of given transmissions against network costs. Because the techniques detailed in each chapter can help readers achieve energy efficiency and reliability in wireless networks, they have the potential to impact a range of industry areas, including wireless communication, wireless sensor networks, and ad hoc networks.The book includes numerous examples, best practices, and models that capture key issues in real-world applications. Along with algorithms and tips for effective design, the book supplies the understanding you will need to achieve high-performing and energy efficient wireless networks with improved service coverage and reliability.

SOMMARIO

Introduction: Zhengguo Sheng and Chi Harold LiuOverviewRelated Work Motivation and Aims Organization of the Book FUNDAMENTAL UNDERSTANDING OF COOPERATIVE COMMUNICATIONReliability of Cooperative Transmission; Zhiguo Ding and Zhengguo ShengSystem Model Outage Behavior of Transmission Schemes     Direct Transmission      Cooperative Transmission Motivating Example Description of the QOS-Driven Routing AlgorithmSimulation ResultEnergy Consumption of Cooperative Transmission; Zhengguo Sheng and Kin K. LeungIntroductionDescription of the Power-Efficient Routing Algorithm Performance Evaluation Throughput of Cooperative Transmission; Zhengguo Sheng and Zhiguo DingIntroduction Interference Subtraction in a Multi-Hop Scenario Supplementary Cooperation Simulation ResultDelay Analysis of Cooperative Transmission; Zhiguo Ding, Kin K. Leung, and Zhengguo ShengIntroductionSystem Model and Delay Behaviors     Amplify-and-Forward Transmission      Decode-and-Forward Transmission      Multi-Hop Transmission Delay Analysis for Multi-Hop Scenario Delay Analysis with Interference Subtraction      Interference Subtraction      End-to-End Delay Analysis     Throughput AnalysisCOOPERATIVE COMMUNICATION IN SINGLE-HOP SCENARIOPower Efficiency of Cooperative Transmission; Bongjun Ko and Zhengguo ShengIntroduction Cooperative Region      Path-Loss Exponent a = 1      Path-Loss Exponent a = 2      General Path-Loss Exponents      Simulation Result Average Power Ratio      Average Power Ratio for a = 2      General Path-Loss Exponent      Dynamic Cooperation Scheme      Simulation Result Optimal Power Allocation of Cooperative Transmission; Zhengguo Sheng and Bongjun KoIntroduction      Problem Formulation      Analysis of Optimal DAF Cooperation     Simulation Result Energy-Efficient Relay Selection for DAF     Relay Selection Rules     On Distributed Implementation of Relay SelectionCOOPERATIVE COMMUNICATION IN MULTI-PAIR MULTI-HOP SCENARIOREACT: Residual Energy-Aware Cooperative Transmissions; Erwu Liu, Rui Wang, Chao Wang, Xinlin Huang, and Fuqiang LiuIntroduction System Model Simulation Results      Path Loss plus Rayleigh Fading      Only Path Loss, No Fading Conclusion Joint Beamforming and Power Allocation; Chee Yen LeowIntroductionSystem Model and Protocol Description     Initialization      Transmission ProtocolBeamforming Design      Design of Fi      Design ofW      Design of GiJoint Power Allocation     Subchannel SNR Derivation      Sum-Rate Optimization      Proposed Power Allocation Strategies      Baseline Schemes and Comparable Scheme Numerical Results ConclusionSelfishness-Aware Energy-Efficient Cooperative Networks; Jun Fan, Zhengguo Sheng, and Chi Harold LiuIntroduction System Model      Direct Transmission      Cooperative Transmission with Multiple Simultaneous Relays      Utility Function and Selfishness Index Optimal Power Allocation Network Lifetime-Aware Two-Step Relay Selection Performance Evaluation      A Five-Node Example      A Complete SettingConclusions And Future WorkNetwork Protocol Design of M2M-Based Cooperative Relaying; Zhengguo Sheng, Hao Wang, Daqing Gu, Xuesong Chen, Changchuan Yin, and Chi Harold LiuIntroduction System Model and Transmission Power Consumption for Optimal DAF Cooperation     Direct Transmission      Optimal DAF Cooperative Transmission Analysis of Optimal DAF Cooperation      Power Efficiency Factor      Best Relay Location for Optimal DAF      Comparison with Existing Literature Cooperation-Aided Routing in Low-Power and Lossy NetworksPerformance of Cooperation-Aided Routing Conclusions Conclusion; Zhengguo Sheng and Chi Harold LiuContributions and Conclusions      Fundamental Understanding of Cooperative Routing      Fundamental Understanding of Cooperative Communication Using Probabilistic Tools      Cooperative Communication in Practice Future Work      Robust Relay Selection Schemes      A Cross-Layer Design for Joint Flow Control, Cooperative Routing, and Scheduling in Multi-hop Wireless Sensor Networks      Cooperative Communications in VANETs Appendix Optimal Cooperative Route Proof of Theorem 2.2 Derivation of (5.18) AND (5.19) Proof of Theorem 5.2      Numerator of g      Denominator of g Proof of Equation (6.26) Proof of Theorem 7.1 Proof of Theorem 7.6

AUTORE

Zhengguo Sheng is a lecturer at the University of Sussex, UK, and co-founder of WRTnode. His current research interests cover Internet-of-Things, machine-to-machine (M2M), mobile cloud computing, and power line communication (PLC). Previously, he was with the University of British Columbia as a research associate, and with France Telecom Orange Labs as the senior researcher and project manager in M2M and Internet-of-Things, as well as the coordinator of Orange and Asia telco on NFC-SWP partnership. He is also the winner of the Orange Outstanding Researcher Award and CEO Retention bonus recipient, 2012. He also worked as a research intern with IBM T. J. Watson Research Center, USA, and U.S. Army Research Labs. With six years of research experience across industry and academia, Sheng has research interests that cover a wide range in wireless communication from the fundamental information theory to radio technology and protocol design, and so on. Before joining Orange Labs, he received his Ph.D. and M.S. with distinction at Imperial College London in 2011 and 2007, respectively, and his B.Sc. from the University of Electronic Science and Technology of China (UESTC) in 2006. He has published more than 30 prestigious conference and journal papers. He serves as the technical committee member of ELSEVIER Journals of Computer Communications (COMCOM). He has also served as the co-organizer of IEEE International Symposium on Wireless Vehicular Communications (WiVeC’14), session chair of IEEE VTC’14-Fall, technical program committee members of Tensymp'15, CloudCom'14, SmartComp'14, WCSP'14, Qshine'14, ICCAAD'14, ContextDD'14, etc. He is also a member of the Institute of Electrical and Electronics Engineers (IEEE), Vehicular Technology Society (VTS) and the Association for Computing Machinery (ACM). Chi Harold Liu is a Full Professor at the School of Software, Beijing Institute of Technology, China. He is also the Director of IBM Mainframe Excellence Center (Beijing), Director of IBM Big Data & Analysis Technology Center, and Director of National Laboratory of Data Intelligence for China Light Industry. He holds a Ph.D. degree from Imperial College, UK, and a B.Eng. degree from Tsinghua University, China. Before moving to academia, he joined IBM Research – China as a staff researcher and project manager, and worked as a postdoctoral researcher at Deutsche Telekom Laboratories, Germany, and as a visiting scholar at IBM T. J. Watson Research Center, USA. His current research interests include the Internet-of-Things (IoT), big data analytics, mobile computing, and wireless ad hoc, sensor, and mesh networks. He received the Distinguished Young Scholar Award in 2013, IBM First Plateau Invention Achievement Award in 2012, and IBM First Patent Application Award in 2011 and was interviewed by EEWeb.com as the Featured Engineer in 2011. He has published more than 50 prestigious conference and journal papers and owned more than 10 EU/U.S./China patents. He serves as the editor for KSII Trans. on Internet and Information Systems and the book editor for four books published by Taylor & Francis Group, USA. He also has served as the general chair of IEEE SECON’13 workshop on IoT Networking and Control, IEEE WCNC’12 workshop on IoT Enabling Technologies, and ACM UbiComp’11 Workshop on Networking and Object Memories for IoT. He served as the consultant to Bain & Company, and KPMG, USA, and the peer reviewer for Qatar National Research Foundation, and National Science Foundation, China. He is a member of IEEE and ACM.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781138034211
• Dimensioni: 9.25 x 6.125 in Ø 0.90 lb
• Formato: Brossura
• Illustration Notes: 59 b/w images, 3 tables and 264 Equations
• Pagine Arabe: 221