Wireless Sensor Node Deployment Based on Improved Artificial Bee Colony Algorithm
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Resource Overview
This resource includes comprehensive MATLAB implementation with supplementary C code components, providing complete simulation capabilities for ABC-based wireless sensor deployment. The package contains executable algorithms with documented simulation results for reference and validation.
Detailed Documentation
This documentation contains extensively detailed MATLAB code with supplementary C code components, fully implementing wireless sensor deployment simulation based on the Artificial Bee Colony (ABC) algorithm. The implementation features modular coding architecture including key functions for population initialization, employed bee phase, onlooker bee selection, and scout bee mechanism. The code provides configurable parameters for sensor coverage optimization, node positioning constraints, and fitness evaluation metrics. These executable algorithms and validated simulation results serve as practical references, enabling deeper understanding of coverage optimization techniques and swarm intelligence applications in sensor networks. Suitable for both beginners and professionals, the code demonstrates practical implementation methodologies for wireless sensor deployment principles and performance analysis. The enhanced ABC algorithm incorporates adaptive search strategies and dynamic parameter tuning for improved convergence characteristics. We hope this technical resource proves valuable for your research and development efforts!
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