K. J. Ray Liu – författare

Group-oriented communications will play a significant role in the next generation of networks as many services, such as pay-per-view media broadcasts and the delivery of network control messages, will rely upon the ability to reliably deliver data simultaneously to a large group of users. As these networks become increasingly pervasive and these multi-user services become increasingly ubiquitous, it will become essential that a complementary suite of security solutions are deployed in order to protect these services from a broad spectrum of security threats that are unique to group communications.

This book aims to fill a growing need in the research community for a reference that describes the state of the art in securing group communications. Network-Aware Security for Group Communications focuses on tailoring the security solution to the underlying network architecture (such as the wireless cellular network or the ad hoc/sensor network), or to the application using the security methods (such as multimedia multicasts).

Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks.

Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks.

Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.