Energy-Efficient Underwater Wireless Communications and Networking
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Energy-Efficient Underwater Wireless Communications and Networking

Nitin Goyal (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India), Luxmi Sapra (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India) and Jasminder Kaur Sandhu (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)
Release Date: September, 2020|Copyright: © 2021 |Pages: 339
ISBN13: 9781799836407|ISBN10: 1799836401|EISBN13: 9781799836421|DOI: 10.4018/978-1-7998-3640-7

Description

Underwater wireless sensor networks (UWSN) are envisioned as an aquatic medium for a variety of applications including oceanographic data collection, disaster management or prevention, assisted navigation, attack protection, and pollution monitoring. Similar to terrestrial wireless sensor networks (WSN), UWSNs consist of sensor nodes that collect the information and pass it to a base station; however, researchers have to face many challenges in executing the network in an aquatic medium.

Energy-Efficient Underwater Wireless Communications and Networking is a crucial reference source that covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. While highlighting topics such as digital signal processing, underwater localization, and acoustic channel modeling, this publication is ideally designed for machine learning experts, IT specialists, government agencies, oceanic engineers, communication experts, researchers, academicians, students, and environmental agencies concerned with optimized data flow in communication network, securing assets, and mitigating security attacks.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Acoustic Channel Modeling
  • Autonomous Underwater Vehicles (AUVs)
  • Bandwidth Efficiency
  • Communication Architecture
  • Communication Bandwidth
  • Data Collection and Processing
  • Digital Signal Processing
  • Fault Management
  • Machine Learning
  • Oceanic Engineering
  • Simul

Table of Contents and List of Contributors

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