Localization in Underwater Sensor Networks Localization in Underwater Sensor Networks
Wireless Networks

Localization in Underwater Sensor Networks

Jing Yan e altri
    • 119,99 €
    • 119,99 €

Descrizione dell’editore

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 ofUSN 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.

GENERE
Computer e internet
PUBBLICATO
2021
27 ottobre
LINGUA
EN
Inglese
PAGINE
237
EDITORE
Springer Nature Singapore
DATI DEL FORNITORE
Springer Science & Business Media LLC
DIMENSIONE
43,4
MB
Teacher Development in Teaching Chinese as a Second Language Teacher Development in Teaching Chinese as a Second Language
2025
Autonomous Underwater Vehicles Autonomous Underwater Vehicles
2021
Signal Interference in WiFi and ZigBee Networks Signal Interference in WiFi and ZigBee Networks
2016
Cloud Networking for Big Data Cloud Networking for Big Data
2015
Intelligent Resource Scheduling in End-Edge-Cloud Networks Intelligent Resource Scheduling in End-Edge-Cloud Networks
2026
Advanced NOMA Techniques for Heterogeneous Cellular Networks Advanced NOMA Techniques for Heterogeneous Cellular Networks
2026
Self-Evolving Digital Twin Over Wireless Networks Self-Evolving Digital Twin Over Wireless Networks
2026
Cross-Modal Communication Technology Cross-Modal Communication Technology
2025