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Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks.

Xuemei Sun1, Yongxin Yang2, Maode Ma3

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Summary
This summary is machine-generated.

This study introduces improved algorithms for constructing a minimum connected dominating set (MCDS) in ad hoc sensor networks. The new methods enhance coverage efficiency and optimize the network backbone scale for better communication.

Keywords:
Steiner treead hoc sensor networksmaximum independent set (MIS)minimum connected dominating set (MCDS)minimum spanning tree

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Effective communication in ad hoc sensor networks relies on a virtual backbone.
  • Constructing a minimum connected dominating set (MCDS) is crucial for this backbone.
  • Existing approximate algorithms often use a two-stage approach: maximum independent set (MIS) followed by Steiner tree construction.

Purpose of the Study:

  • To propose an improved collaborative coverage algorithm for maximum independent set (IC-MIS) construction.
  • To introduce enhanced Steiner tree algorithms (IK-ST and ML-ST) for improved connectivity.
  • To optimize the scale of the connected dominating set (CDS) for ad hoc sensor networks.

Main Methods:

  • An improved collaborative coverage algorithm (IC-MIS) expanding neighbor selection to three hops.
  • An improved Kruskal-Steiner tree algorithm (IK-ST).
  • A maximum leaf nodes Steiner tree algorithm (ML-ST).

Main Results:

  • The IC-MIS algorithm improves coverage efficiency while ensuring complete coverage.
  • The IK-ST and ML-ST algorithms bring the solution closer to the optimal MCDS.
  • Simulation results demonstrate significant optimization in the connected dominating set (CDS) scale compared to previous algorithms.

Conclusions:

  • The proposed algorithms offer a substantial improvement for constructing MCDS in ad hoc sensor networks.
  • Enhanced neighbor selection and Steiner tree construction lead to a more optimized virtual backbone.
  • This research contributes to more efficient communication protocols in wireless sensor networks.