In wireless distributed networks, where multiple antennas can not be integrated in one node, cooperative Multi-Input Multi-Output (MIMO) techniques help to exploit the space time diversity gain in order to increase performances or to reduce the transmission energy consumption. In this thesis, strategies using cooperative MIMO techniques are proposed for Wireless Sensor Network (WSN) where the energy consumption is the most important design criterion. The performance and the energy consumption advantages of cooperative MIMO technique are investigated, in comparison with the SISO, multi-hop SISO and cooperative Relay techniques, and an optimal selection of transmit-receive antennas number in terms of energy consumption is also proposed as a function of transmission distances. Since the wireless nodes are physically separated in cooperative MIMO systems, the imperfect time synchronization between cooperative nodes clocks leads to an unsynchronized MIMO transmission. The performance degradation of this cooperative transmission synchronization error and the cooperative reception additional noise is evaluated by simulations. Two new cooperative reception techniques based on the relay principle and a new efficient space-time combination technique are proposed in order to increase the energy efficiency of cooperative MIMO systems. Finally, performance and energy consumption comparisons between cooperative MIMO and Relay techniques are performed and an association strategy is also proposed to exploit simultaneously the advantages of the two cooperative techniques.

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.

The issue of energy saving is significant since in a battery-operated wireless node, the battery energy is finite and a node can only transmit a finite number of bits. To extend the life span of a node in wireless sensor networks, an energy-efficient communication technique is mandatory so that energy expenditure is minimized, and at the same time, it satisfies the given throughput and delay necessities. In this context, we analyze the performance of cooperative Multiple-Input Multiple-Output (MIMO)-based communication in wireless sensor networks. In this paper, we analyze the communication method to reduce the total delay and total energy expenditure required to send specified quantity of bits. This energy efficiency investigation of MIMO scheme is broadened to individual single antenna nodes that collaborate to form multiple antenna transmitters or receivers. It is also seen that over some distance ranges, cooperative MIMO broadcast and reception can simultaneously achieve both energy savings and delay reduction. Simulations show that with proper design, cooperative MIMO-based communication is more faster and energy-efficient as compared to non-cooperative approach e.g., Single-Input Single-Output (SISO) for larger distances and prolong sensor network lifetime.

This book constitutes the refereed proceedings of the 6th China Conference on Advances in Wireless Sensor Networks, held in Huangshan, China, in October 2012. The 70 revised full papers were carefully reviewed and selected from 458 submissions. The papers cover a wide range of topics including in the wireless sensor network fields nodes systems, infrastructures, communication protocols, and data management.

This book constitutes the proceedings of the 10th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2015, held in Qufu, Shandong, China, in August 2015. The 36 revised full papers presented together with 5 revised short papers and 42 invited papers were carefully reviewed and selected from 133 initial submissions. The papers present current trends, challenges, and state-of-the-art solutions related to various issues in wireless networks. Topics of interests include effective and efficient state-of-the-art algorithm design and analysis, reliable and secure system development and implementations, experimental study and testbed validation, and new application exploration in wireless networks. .

The author presents a unified treatment of this highly interdisciplinary topic to help define the notion of cognitive radio. The book begins with addressing issues such as the fundamental system concept and basic mathematical tools such as spectrum sensing and machine learning, before moving on to more advanced concepts and discussions about the future of cognitive radio. From the fundamentals in spectrum sensing to the applications of cognitive algorithms to radio communications, and discussion of radio platforms and testbeds to show the applicability of the theory to practice, the author aims to provide an introduction to a fast moving topic for students and researchers seeking to develop a thorough understanding of cognitive radio networks. Examines basic mathematical tools before moving on to more advanced concepts and discussions about the future of cognitive radio Describe the fundamentals of cognitive radio, providing a step by step treatment of the topics to enable progressive learning Includes questions, exercises and suggestions for extra reading at the end of each chapter Topics covered in the book include: Spectrum Sensing: Basic Techniques; Cooperative Spectrum Sensing Wideband Spectrum Sensing; Agile Transmission Techniques: Orthogonal Frequency Division Multiplexing Multiple Input Multiple Output for Cognitive Radio; Convex Optimization for Cognitive Radio; Cognitive Core (I): Algorithms for Reasoning and Learning; Cognitive Core (II): Game Theory; Cognitive Radio Network IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard, and Radio Platforms and Testbeds.