Localization in Underwater Sensor Networks (Hardcover, 1st ed. 2021)

Ocean covers 70.8% of the Earth's surface, and it plays an important role in supporting all life on Earth. Nonetheless, more than 80% of the ocean's volume remains unmapped, unobserved and unexplored. In this regard, Underwater Sensor Networks (USNs), which offer ubiquitous computation, efficient communication and reliable control, are emerging as a promising solution to understand and explore the ocean. In order to support the application of USNs, accurate position information from sensor nodes is required to correctly analyze and interpret the data sampled. However, the openness and weak communication characteristics of USNs make underwater localization much more challenging in comparison to terrestrial sensor networks. In this book, we focus on the localization problem in USNs, taking into account the unique characteristics of the underwater environment. This problem is of considerable importance, since fundamental guidance on the design and analysis of USN localization is very limited at present. To this end, we first introduce the network architecture of USNs and briefly review previous approaches to the localization of USNs. Then, the asynchronous clock, node mobility, stratification effect, privacy preserving and attack detection are considered respectively and corresponding localization schemes are developed. Lastly, the book's rich implications provide guidance on the design of future USN localization schemes. The results in this book reveal from a system perspective that underwater localization accuracy is closely related to the communication protocol and optimization estimator. Researchers, scientists and engineers in the field of USNs can benefit greatly from this book, which provides a wealth of information, useful methods and practical algorithms to help understand and explore the ocean.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Wireless Networks
Release date:	October 2021
First published:	2021
Authors:	Jing Yan • Haiyan Zhao • Yuan Meng • Xinping Guan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	220
Edition:	1st ed. 2021
ISBN-13:	978-981-16-4830-4
Categories:	Books > Computing & IT > Computer hardware & operating systems > Handheld devices (eg Palm, PocketPC) Books > Computing & IT > Computer programming > General Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN:	981-16-4830-1
Barcode:	9789811648304

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