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Data Uploading Strategy for Underwater Wireless Sensor Networks.

Xiangdang Huang^1,2, Shijie Sun³, Qiuling Yang^1,2

¹School of Computer Science and Cyberspace Security, Hainan University, Haikou 570228, China.

Sensors (Basel, Switzerland)

|December 5, 2019

Summary

This summary is machine-generated.

This study introduces an energy-efficient data uploading strategy for underwater wireless sensor networks (UWSNs). The method optimizes energy use by analyzing data similarity and compression costs, outperforming existing techniques.

Keywords:

data uploading decision-making strategy energy consumption underwater wireless sensor networks

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Area of Science:

Marine Technology
Sensor Networks
Data Communication

Background:

Underwater wireless sensor networks (UWSNs) face significant communication challenges.
Current UWSN data collection methods prioritize redundancy reduction and communication energy but neglect post-compression transmission energy costs.

Purpose of the Study:

To propose a novel data uploading decision-making strategy for UWSNs.
To optimize network energy consumption by considering data similarity and compression energy.

Main Methods:

Developed a decision-making strategy analyzing data similarity, network communication quality, and upload energy consumption.
Focused on energy-saving transmission after data compression.

Main Results:

The proposed strategy efficiently optimizes energy consumption in UWSNs.
Demonstrated superior energy-saving effects compared to existing methods across various network scenarios.

Conclusions:

The new strategy provides an energy-efficient data upload solution for underwater nodes.
Effectively reduces overall network energy consumption in diverse underwater environments.