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Topology Control in Spherical 3D Sensor Networks.
Nikolaos Zarifis1, Dimitrios Katsaros1
1Department of Electrical & Computer Engineering, University of Thessaly, 38334 Volos, Greece.
Sensors (Basel, Switzerland)
|July 15, 2026
Summary
A new algorithm optimizes three-dimensional Wireless Sensor Networks (3D WSNs) on spheres for reliable coverage and energy efficiency. It ensures fault tolerance and efficient communication through intelligent sensor placement and hierarchical clustering.
Area of Science:
- Computer Science
- Network Engineering
- Robotics
Background:
- Three-dimensional Wireless Sensor Networks (3D WSNs) require robust topological control for reliable sensing and communication in complex environments.
- Existing 2D solutions and individual 3D problem approaches (coverage, connectivity, energy efficiency) are not directly adaptable or integrated for spherical 3D WSNs.
- Optimal sensor distribution on non-planar surfaces, specifically spheres, presents significant algorithmic challenges for maintaining network routes and energy balance.
Purpose of the Study:
- To present a novel holistic algorithm for energy-efficient, optimal sensor topologies in spherical 3D WSNs.
- To guarantee redundant coverage (k-coverage) and k-connectivity for fault tolerance and efficient communication.
- To create a network hierarchy for effective energy management and even energy consumption distribution.
Main Methods:
- Phase 1: Geometric approach for optimal sensor node placement on a sphere, ensuring k-coverage.
- Phase 2: Creation of a reliable inner-layer backbone network for k-connectivity, supporting data transmission and power distribution.
- Phase 3: Sensor clustering and development of a mathematical formula for cluster head rotation to equalize energy consumption.
Main Results:
- The algorithm successfully generates energy-efficient and optimal sensor topologies for spherical 3D WSNs.
- Guaranteed k-coverage and k-connectivity ensure network reliability and fault tolerance.
- Hierarchical clustering and dynamic cluster head selection lead to an even distribution of energy consumption.
Conclusions:
- The proposed holistic algorithm effectively addresses the challenges of topological control in spherical 3D WSNs.
- The methodology ensures reliable sensing, fault tolerance, efficient communication, and prolonged network lifetime through balanced energy usage.
- A developed 3D WSN software simulator validates the algorithm's dynamic visual simulation capabilities.
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