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Relocating Sensor Nodes to Maximize Cumulative Connected Coverage in Wireless Sensor Networks.

Vedat Coskun1

  • 1SIK University, Department of Information Technologies, Sile, 34980, Istanbul, Turkey. vedatcoskun@isikun.edu.tr.

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This study introduces MaxNetLife, a dynamic relocation algorithm for wireless sensor networks. It maximizes data collection and network lifespan by intelligently repositioning sensor nodes based on remaining power and coverage needs.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) require efficient power management for extended operation and maximum data extraction.
  • Sensor node failure due to power depletion can lead to information loss and reduced network coverage.
  • Optimizing sensor node deployment and relocation is crucial for maintaining network functionality and data integrity.

Purpose of the Study:

  • To introduce MaxNetLife, a novel dynamic relocation algorithm for WSNs.
  • To enhance network availability and maximize information extraction by optimizing sensor node power usage and strategic relocation.
  • To increase the cumulative connected coverage of the network, thereby extending its operational lifespan.

Main Methods:

  • A deterministic deployment approach using Hexagonal Grid positioning for sensor nodes.
  • Development of the MaxNetLife algorithm, which utilizes remaining sensor node power for dynamic relocation.
  • Preemptive migration of redundant sensor nodes to areas requiring additional coverage to prevent network holes.

Main Results:

  • The MaxNetLife algorithm effectively maximizes the total collected information from the surveillance area.
  • The algorithm enhances the cumulative connected coverage parameter of the network.
  • Simulations demonstrate that MaxNetLife is effective, scalable, and applicable for WSNs.

Conclusions:

  • MaxNetLife significantly extends wireless sensor network availability by intelligently managing sensor node power and relocation.
  • The algorithm ensures continuous data transmission and maximizes information retrieval by proactively addressing coverage gaps.
  • MaxNetLife offers a scalable and effective solution for optimizing WSN performance and longevity.