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LESS: Link Estimation with Sparse Sampling in Intertidal WSNs.

Xinyan Zhou1, Xiaoyu Ji2, Yi-Chao Chen3

  • 1College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China. xinyanzhou@zju.edu.cn.

Sensors (Basel, Switzerland)
|March 2, 2018
PubMed
Summary
This summary is machine-generated.

Wireless sensor networks (WSNs) for intertidal environmental monitoring can be improved. A new protocol, LESS, uses sparse sampling to accurately estimate link quality, reducing energy and bandwidth waste by 50%.

Keywords:
compressive sensingenvironmental monitoringlink quality reconstructiontopology constructionwireless sensor networks

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Area of Science:

  • Environmental Science
  • Computer Science
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) are vital for intertidal environmental monitoring.
  • Dynamic intertidal environments pose challenges for reliable WSN data delivery.
  • Current link quality estimation in WSNs leads to energy and bandwidth waste.

Purpose of the Study:

  • To investigate network dynamics in intertidal WSNs.
  • To develop an efficient link quality estimation protocol for WSNs.
  • To reduce energy and bandwidth consumption in WSN routing protocols.

Main Methods:

  • Analysis of real-world WSN data from intertidal deployments.
  • Design and implementation of a compressive-sensing-based protocol (LESS).
  • Evaluation of LESS using real WSN systems and large-scale simulations.

Main Results:

  • Feasibility of accurate link quality estimation using sparse sampling demonstrated.
  • LESS protocol reduces energy and bandwidth consumption by up to 50%.
  • Achieved over 90% accuracy in link quality estimation.

Conclusions:

  • Sparse sampling is effective for link quality estimation in dynamic WSNs.
  • The LESS protocol offers significant energy and bandwidth savings.
  • LESS enhances the reliability and efficiency of WSNs in intertidal monitoring.