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Maximum Lifetime Strategy for Target Monitoring with Controlled Node Mobility in Sensor Networks with Obstacles.

Hamid Mahboubi1, Walid Masoudimansour2, Amir G Aghdam2

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This study presents an efficient method for mobile sensor networks to monitor moving targets, maximizing network lifetime by optimizing sensor movement and communication routes. The technique ensures near-optimal performance in obstacle-filled environments.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Mobile sensor networks (MSNs) face challenges in monitoring moving targets, especially in environments with obstacles.
  • Energy consumption from sensing, communication, and movement significantly impacts MSN lifetime.
  • Maximizing network longevity is crucial for sustained target monitoring operations.

Purpose of the Study:

  • To propose an efficient technique for maximizing the lifetime of mobile sensor networks.
  • To address the problem of monitoring a moving target in an obstructed field.
  • To determine near-optimal sensor relocation and energy-efficient data routing strategies.

Main Methods:

  • Constructing a weighted graph based on remaining sensor energy.
  • Employing shortest path algorithms to solve the network lifetime maximization problem.
  • Calculating near-optimal solutions iteratively using previous time step information.

Main Results:

  • The proposed technique yields a near-optimal sensor relocation strategy.
  • An energy-efficient communication route from the target to the destination is determined.
  • Simulation results validate the effectiveness of the proposed technique in enhancing network lifetime.

Conclusions:

  • The developed technique effectively maximizes mobile sensor network lifetime.
  • The algorithm provides near-optimal sensor placement and data routing, adaptable to dynamic environments.
  • The method offers a practical solution for sustained target monitoring in challenging terrains.