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A comprehensive study of fractal clustering and firefly algorithm for WSN Deployment: Implementation and outcomes
Neha Sharma1,2, Vishal Gupta3
1USICT, Guru Gobind Singh Indraprastha University, Delhi, India.
Methodsx
|December 5, 2024
Summary
This study introduces a new algorithm for deploying wireless sensor networks (WSNs) to improve energy efficiency and network coverage. The Fractal Clustering Based Firefly Deployment Algorithm optimizes sensor node placement for better performance and resource utilization.
Area of Science:
- Computer Science
- Network Engineering
- Optimization Algorithms
Background:
- Wireless Sensor Networks (WSNs) are crucial for data gathering in remote areas, facing challenges in energy consumption, coverage, and network lifetime.
- Sensor nodes are energy-constrained, necessitating efficient deployment strategies to prolong network life and ensure performance.
- Key performance indicators for WSNs include minimizing energy usage, maximizing coverage, and improving overall network longevity.
Purpose of the Study:
- To address the critical challenges in WSN deployment, focusing on scalable and efficient strategies.
- To offer a comprehensive survey of optimization techniques for WSN deployment to enhance network performance and resource utilization.
- To propose a novel hybrid algorithm, the Fractal Clustering Based Firefly Deployment Algorithm, for optimized sensor node placement in WSNs.
Main Methods:
- A survey of existing optimization techniques for WSN deployment was conducted.
- A new hybrid algorithm combining fractal clustering and the firefly optimization algorithm was developed.
- The Fractal Clustering Based Firefly Deployment Algorithm partitions areas using fractal clustering and employs firefly optimization for sensor node placement.
Main Results:
- The proposed hybrid algorithm demonstrates a light-weight, energy-efficient, and optimized deployment strategy.
- Fractal clustering identifies regions requiring higher sensor node density based on attributes and event criticality.
- Simulation results in MATLAB2020 indicate promising performance improvements compared to other deployment strategies.
Conclusions:
- The Fractal Clustering Based Firefly Deployment Algorithm offers an effective solution for optimizing WSN deployment.
- The hybrid approach successfully balances energy efficiency, coverage, and network lifetime.
- The study validates the algorithm's efficacy through simulation, highlighting its potential for real-world WSN applications.
