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Sink-Type-Dependent Data-Gathering Frameworks in Wireless Sensor Networks: A Comparative Study.

Rezoan Ahmed Nazib¹, Sangman Moh¹

¹Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Korea.

Sensors (Basel, Switzerland)

|April 30, 2021

Summary

This summary is machine-generated.

This study compares wireless sensor network (WSN) data gathering using static, ground mobile, and aerial mobile sinks. Mobile sinks offer advantages in challenging environments, impacting energy efficiency and network performance.

Keywords:

aerial sink base station data gathering energy efficiency mobile sink routing protocol static sink unmanned aerial vehicle wireless sensor network

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Area of Science:

Wireless Sensor Networks (WSNs)
Automation and Robotics
Network Performance Analysis

Background:

WSNs are increasingly vital due to automation trends, especially in remote or infrastructure-less areas.
Mobile sinks (ground and aerial) are gaining popularity for data collection in WSNs.
Sink type significantly influences WSN energy consumption and Quality of Service (QoS) parameters like packet delivery ratio, delay, and throughput.

Purpose of the Study:

To comprehensively review and analyze data-gathering frameworks in WSNs based on different sink types.
To investigate previously unexamined data-gathering schemes categorized by static, ground mobile, and aerial mobile sinks.
To provide both qualitative and quantitative comparisons of these frameworks.

Main Methods:

Qualitative analysis of data-gathering frameworks, examining working principles, advantages, and limitations.
Comparative study based on main ideas, optimization criteria, and performance evaluation parameters.
Simulation-based quantitative comparison of representative schemes from each sink category.

Main Results:

Simulation results demonstrate variations in energy efficiency, number of dead nodes, control packet exchange, and packet drop ratio across different sink types.
Qualitative analysis highlights distinct working principles and trade-offs for each sink category.
Quantitative comparison provides empirical data on the performance impact of sink mobility.

Conclusions:

The choice of sink type is a critical design parameter in WSNs, directly affecting network longevity and data delivery efficiency.
Mobile sinks, particularly aerial ones, show potential for enhanced data gathering in challenging WSN deployments.
Further research and optimized schemes are recommended based on the identified performance characteristics of different sink types.