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Hujun Bao
Hangzhou, China
Xilin Chen
Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Xiaotie Deng
Shanghai Jiao Tong University, Shanghai, China
Dengguo Feng
Chinese Academy of Sciences, Institute of Software, Beijing, China
Minyi Guo
Shanghai Jiao Tong University, Shanghai, China
Shi-Min Hu
Tsinghua University, Beijing, China
Zhi Jin
Peking University, Beijing, China
Xinbing Wang
School of Electronic Information, Shanghai Jiao Tong University, Shanghai, China
Nong Xiao
National University of Defense Tech, Changsha, China
Ge Yu
Northeastern University, Shenyang, China
Hongbin Zha
Beijing, China
Jian Zhang
Chinese Academy of Sciences, Beijing Jiaotong University, Beijing, China
Zhi-Hua Zhou
Nanjing, Jiangsu, China
The Advances in Computer Science and Technology series publishes state-of-the-art results contributed by China Computer Federation (CCF) members or authors associated with or invited by CCF. This series aims to efficiently disseminate advanced researches and practical applications to international research community. The topical scope of Advances in Computer Science and Technology spans the entire spectrum of computer science and information technology ranging from foundational topics in the theory of computing to information and communications science and technology and a broad variety of interdisciplinary application fields. This series mainly include monographs, professional books and graduate textbooks, edited volumes and books. All volumes are authored or edited by established experts in their fields, published according to rigorous peer review, based on the editors preview and selection and adequate refereeing by independent experts. Each volume will provide a reasonable self-contained account of a topic, as well as a survey of the literature on the topic. The intended audience includes graduate students, researchers, professionals, and industrial practitioners.
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Huadong Ma , Liang Liu and Hong Luo
Multimedia Sensor Networks
1st ed. 2021
Logo of the publisher
Huadong Ma
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
Liang Liu
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
Hong Luo
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China
ISSN 2198-2686 e-ISSN 2198-2694
Advances in Computer Science and Technology
ISBN 978-981-16-0106-4 e-ISBN 978-981-16-0107-1
https://doi.org/10.1007/978-981-16-0107-1
Springer Nature Singapore Pte Ltd. 2021
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Preface
The Internet of Things (IoT) is one of the most important infrastructures for social progress, economic development, and scientific innovation. As a key technology for IoT to thoroughly sense the physical world, wireless sensor network was listed first among 10 emerging technologies that would change the world by MIT Technology Review in 2003, and it also plays a fundamental role in the development of national strategic emerging industries.
For a long time, sensor networks mainly acquired and processed scalar data, which seriously restricted the in-depth development and application of IoT. Since more than 90% of the information acquired by human beings comes from vision and audition, it is necessary to capture multimedia information for fully and accurately understanding the physical world. Therefore, the evolution to multimedia sensor networks is the development direction of sensor networks. However, with diverse multimedia sensing modes, large amounts of data, strong heterogeneity, and complex calculation, the theories and methods of traditional sensor network are no longer effective for multimedia sensor network. How to depict the characteristics of multimedia perception, reveal the transmission mechanism of multimedia sensor networks, and build an efficient multimedia computing model within the network, so as to break through the bottleneck of node perception, transmission, and computing resources and achieve optimized deployment of multimedia sensor networks, efficient and reliable transmission, and timeliness information processing, are challenging issues that have always plagued the international academic community.
We began work in the field of multimedia sensor network in 2004. With the continuous funding from the National 973 Project and National Natural Science Foundation of China (NSFC), we have made a systematic and in-depth exploration of theories and technologies of multimedia sensor networks. The archived research achievements in multiple aspects, including directional sensing, fused transmission, in-network computing, and multimedia-supported IoT services, provide theoretical support for solving the bottleneck problems in multimedia sensor networks and the IoT.
This book is a summary of our scientific research work in this field, and is also an attempt to systematically summarize the basic theories and key technologies of multimedia sensor networks. Following the main line of sensing, transmission, processing, and service of multimedia information, this book systematically introduces the basic concepts, fundamental principles, key technologies, and typical applications of multimedia sensor networks. The book is divided into six chapters. Specifically, the first chapter briefly introduces the background, research status, main research contents, and typical application fields of multimedia sensor networks. The second chapter mainly discusses multimedia sensing model and coverage control issues, including 2D and 3D directional sensor network models, as well as directional