Wei-Lun Chang
Papers
1
Total Citations
76
H-Index
1
About
Wei-Lun Chang is a distinguished researcher whose work bridges the fields of wireless sensor networks and optimization algorithms. His most influential contribution is the development of an artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks, a seminal paper published in 2013 that has garnered 76 citations. This work addresses a critical challenge in sensor networks—efficiently routing data collection when nodes are sparsely distributed—by drawing inspiration from the foraging behavior of honeybees. Chang’s algorithm optimizes path planning to minimize energy consumption and extend network lifetime, offering a practical solution for environmental monitoring, disaster response, and remote sensing applications. His research demonstrates a keen ability to apply nature-inspired metaheuristics to real-world engineering problems, making complex systems more efficient and autonomous. With a focus on algorithmic innovation and network optimization, Chang’s contributions have influenced subsequent studies in swarm intelligence and wireless communications. His work remains a key reference for researchers seeking to improve data collection strategies in resource-constrained environments.
Research Focus
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Top Papers
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