Описание: In an age where gadgets and technology go hand in hand with day to day activities of human beings, concepts such as mobile opportunistic networks bring the world closer. Research and advancements that will redefine the discipline of mobile opportunistic networks have been presented in this book. Video streaming, performance evaluation, architecture, protocols, algorithms, etc. are some of the concepts and applications that have been covered in this book. Scientists and students actively engaged in this discipline will find this book full of crucial and unexplored concepts.
Автор: Isaac Woungang; Sanjay Kumar Dhurandher; Alagan An Название: Routing in Opportunistic Networks ISBN: 1461435137 ISBN-13(EAN): 9781461435136 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on everything from the basics of opportunistic networks to modeling them, communicating through them and using them for collaboration and cooperation, this volume covers all aspects of the topic, including testbeds, tools and measurements.
Описание: This book investigates the architectures and characteristics of OUSNs, the mobility models of OUSN nodes, the challenges of message dissemination, and some evaluation indexes of message dissemination.
Описание: This book investigates the architectures and characteristics of OUSNs, the mobility models of OUSN nodes, the challenges of message dissemination, and some evaluation indexes of message dissemination.
Название: Opportunistic mobile social networks ISBN: 0367378434 ISBN-13(EAN): 9780367378431 Издательство: Taylor&Francis Рейтинг: Цена: 9492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The widespread availability of mobile devices along with recent advancements in networking capabilities make opportunistic mobile social networks (MSNs) one of the most promising technologies for next-generation mobile applications. Opportunistic Mobile Social Networks supplies a new perspective of these networks that can help you enhance spontaneous interaction and communication among users that opportunistically encounter each other, without additional infrastructure support.
The book explores recent developments in the theoretical, algorithmic, and application-based aspects of opportunistic MSNs. It presents the motivation behind opportunistic MSNs, describes their underpinning and key concepts, and also explores ongoing research.
Supplies a systematic study of the constrained information flow problem
Reviews the recent literature on social influence in complex social networks
Presents a complete overview of the fundamental characteristics of link-level connectivity in opportunistic networks
Explains how mobility and dynamic network structure impact the processing capacity of opportunistic MSNs for cloud applications
Provides a comprehensive overview of the routing schemes proposed in opportunistic MSNs
Taking an in-depth look at multicast protocols, the book explains how to provide pervasive data access to mobile users without the support of cellular or Internet infrastructures. Considering privacy and security issues, it surveys a collection of cutting-edge approaches for minimizing privacy leakage during opportunistic user profile exchange.
The book concludes by introducing a framework for mobile peer rating using a multi-dimensional metric scheme based on encounter and location testing. It also explains how to develop a network emulation test bed for validating the efficient operation of opportunistic network applications and protocols in scenarios that
Автор: Zhe Wang; Wei Zhang Название: Opportunistic Spectrum Sharing in Cognitive Radio Networks ISBN: 3319155415 ISBN-13(EAN): 9783319155418 Издательство: Springer Рейтинг: Цена: 8489.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The results demonstrate the secondary performance is significantly improved by limited feedback and is further improved by more feedback bits, more secondary receivers and more primary side information.
Автор: Isaac Woungang; Sanjay Kumar Dhurandher; Alagan An Название: Routing in Opportunistic Networks ISBN: 1489989099 ISBN-13(EAN): 9781489989093 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on everything from the basics of opportunistic networks to modeling them, communicating through them and using them for collaboration and cooperation, this volume covers all aspects of the topic, including testbeds, tools and measurements.
Описание: This book provides the details of developing a digital pedestrian map construction system over the intermittently connected mobile network. This book also deals with such challenges in post-disaster scenarios and develops automated post-disaster management services.
Описание: This book provides the details of developing a digital pedestrian map construction system over the intermittently connected mobile network. This book also deals with such challenges in post-disaster scenarios and develops automated post-disaster management services.
Автор: Wang Kehao, Chen Lin Название: Restless Multi-Armed Bandit in Opportunistic Scheduling ISBN: 3030699587 ISBN-13(EAN): 9783030699581 Издательство: Springer Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems.
Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy Название: Machine Learning Applications: Emerging Trends ISBN: 3110608537 ISBN-13(EAN): 9783110608533 Издательство: Walter de Gruyter Цена: 18586.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
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