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A Hybrid DV-Hop Algorithm Using RSSI for Localization in Large-Scale Wireless Sensor Networks.

Omar Cheikhrouhou1, Ghulam M Bhatti2, Roobaea Alroobaea3

  • 1Department of IT, College of Computers and Information Technology, Taif University, At Taif 26571, Saudi Arabia. o.cheikhrouhou@tu.edu.sa.

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Summary
This summary is machine-generated.

This study enhances the DV-Hop localization algorithm for wireless sensor networks (WSN) by incorporating Received Signal Strength Indicator (RSSI) values and utilizing localized nodes as anchors. The improved method significantly boosts localization accuracy.

Keywords:
DV-HopIoTRSSIWSNlocalizationmultihop

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communication

Background:

  • The Internet-of-Things (IoT) and wireless sensor networks (WSN) necessitate accurate node localization.
  • Traditional localization methods have limitations in multi-hop scenarios.
  • The DV-Hop algorithm offers simplicity but suffers from accuracy issues.

Purpose of the Study:

  • To enhance the accuracy of the DV-Hop localization algorithm.
  • To improve multi-hop localization in wireless sensor networks.
  • To address the limitations of existing DV-Hop variants.

Main Methods:

  • Proposed an enhanced DV-Hop algorithm integrating Received Signal Strength Indicator (RSSI) values.
  • Utilized localized nodes as additional anchor nodes to improve accuracy.
  • Conducted simulations to compare the proposed algorithm with existing DV-Hop variants.

Main Results:

  • The proposed algorithm demonstrated significant improvements in localization accuracy.
  • Achieved up to 95% improvement compared to the basic DV-Hop algorithm.
  • Outperformed RSSI Auxiliary Ranging and Selective 3-Anchor DV-hop algorithms.

Conclusions:

  • The enhanced DV-Hop algorithm effectively improves localization accuracy in WSNs.
  • Integrating RSSI and leveraging localized nodes are key to enhanced performance.
  • The proposed method offers a more accurate and cost-effective solution for WSN localization.