IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Fusion in Underwater Wireless Sensor Networks and Open Research Challenges

Data Fusion in Underwater Wireless Sensor Networks and Open Research Challenges
View Sample PDF
Author(s): Kalpna Guleria (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India), Saira Banu Atham (HKBK College of Engineering, Bangalore, India)and Ashok Kumar (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)
Copyright: 2021
Pages: 18
Source title: Energy-Efficient Underwater Wireless Communications and Networking
Source Author(s)/Editor(s): 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, India)
DOI: 10.4018/978-1-7998-3640-7.ch005

Purchase

View Data Fusion in Underwater Wireless Sensor Networks and Open Research Challenges on the publisher's website for pricing and purchasing information.

Abstract

Underwater wireless sensor networks consist of numerous devices such as vehicles and sensor nodes, which are positioned underwater, and these devices collaboratively perform data collection, monitoring, and control task. The most critical issues related to underwater wireless sensor networks include limited bandwidth, data aggregation, data fusion, data collection, routing, media access control, higher propagation delay, and higher power consumption. Underwater data fusion is one of the critical issues for underwater military surveillance applications. It is also considered an equally important and challenging aspect for underwater intelligent traffic control and underwater vehicle navigation systems. This chapter provides an insight into basic concepts about multi-sensor data fusion and detailed review of most popular data fusion architectural models available for underwater wireless sensor networks. Finally, the chapter also provides open research directions to researchers for multi-sensor data fusion.

Related Content

J. Mangaiyarkkarasi, J. Shanthalakshmi Revathy. © 2024. 34 pages.
Gummadi Surya Prakash, W. Chandra, Shilpa Mehta, Rupesh Kumar. © 2024. 22 pages.
Duygu Nazan Gençoğlan. © 2024. 35 pages.
Smrity Dwivedi. © 2024. 20 pages.
Pallavi Sapkale, Shilpa Mehta. © 2024. 21 pages.
Pardhu Thottempudi, Vijay Kumar. © 2024. 43 pages.
Sathish Kumar Danasegaran, Elizabeth Caroline Britto, S. Dhanasekaran, G. Rajalakshmi, S. Lalithakumari, A. Sivasangari, G. Sathish Kumar. © 2024. 18 pages.
Body Bottom