HIGHLIGHTS
- What: This study proposes a Colony Optimization that synergistically combines K-mean algorithms (referred to as K-BCO) for efficient clustering in heterogeneous sensor networks. The study aimed to provide a novel approach to routing that enhances efficiency and performance through the use of bio-inspired algorithms. The proin Algorithm 2, although this study focuses on error rate, data delivery rate, and execuposed algorithm allows a maximum of five sensors to be connected to a CH at each tion time. time.
- Who: Prince Modey and collaborators from the Department of Computer Science, Ho Technical University . . .
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