Abstract
Wireless sensor networks (WSNs) have played a significant role in industrial production and smart cities in recent years. However, one weakness of these networks is that most routing protocols lack a match for a linear environment. Therefore, in this study we considered the communication structure of linear environments when constructing a WSN, and we propose a solution to improve the comprehensive performance of the network. Our objectives were to increase network lifetime and energy consumption. Based on this, we propose the LRSMCP (linear round-numbered segmentation multi-hop clustering protocol) for linear environments. The protocol improves the overall operating strategy based on stochastic resonance, maximizes node energy efficiency, and achieves the purpose of extending lifetime. Finally, LEACH, SEP, LEACH-M, DEEC, and LRSMCP were compared with simulation tools. The results demonstrate that LRSMCP’s life cycle and information transfer were 70% and 287.80% greater. Thus, the LRSMCP protocol has obvious advantages in extending network lifetime and enhancing throughput in a linear environment.
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This work is supported by Scientific Research Project of National Natural Science Foundation of China (No. U1709212).
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Zhixin, Z., Zhidong, Z., Guohua, H. et al. Simulating study on linear time-dependent optimization WSN based on stochastic resonance. J Ambient Intell Human Comput 13, 4941–4952 (2022). https://doi.org/10.1007/s12652-021-03193-x
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DOI: https://doi.org/10.1007/s12652-021-03193-x