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Intersection and Complement Set (IACS) Method to Reduce Redundant Node in Mobile WSN Localization.

Muhammad Zar Mohd Zaid Harith1, Noorzaily Mohamed Noor2, Mohd Yamani Idna Idris3

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Summary

The Intersection and Complement Set (IACS) method optimizes Wireless Sensor Network (WSN) localization by reducing redundant data. This approach lowers computation, communication, and energy costs for more efficient WSN localization.

Keywords:
LocalizationMonte CarloWSNcommunication costcomputation costenergy

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) often require numerous nodes for accurate localization.
  • High node counts lead to data redundancy, increasing computation, communication, and energy costs.

Purpose of the Study:

  • To introduce the Intersection and Complement Set (IACS) method for efficient WSN localization.
  • To reduce redundant data and associated costs in WSN localization processes.

Main Methods:

  • The IACS method selects significant neighbor nodes by identifying unique intersection and complement sets.
  • It employs duplication cleaning and average filtering to refine node selection.
  • Nodes with duplicated sets are prioritized based on proximity and set size relative to the average.

Main Results:

  • IACS reduced computation cost by 25% and communication cost by 25% compared to MSL*.
  • IACS achieved a 6% reduction in energy consumption compared to MSL*.
  • Compared to LCC, IACS decreased computation cost by 15%, communication cost by 13%, and energy consumption by 3%.

Conclusions:

  • The IACS method effectively reduces data redundancy in WSN localization.
  • IACS offers significant improvements in computation, communication, and energy efficiency over existing methods like MSL* and LCC.