Abstract
The rapid popularity of Internet of things devices makes more stable device energy need to face challenges, which has led to wireless sensor network energy balance problem becoming more and more prominent. To meet this challenge, a multi-objective wireless sensor network energy balance model is described, which comprehensively considers the energy consumption of sensor node and neighbor node, sensor node and base station. Meanwhile, an improved multi-objective optimization algorithm based on NSGA-II is employed to address the described model. In the method, the clustering mechanism is introduced to improve the pressure of selection in the later stage of the algorithm. To verify the performance of the algorithm, a wide simulation is performed by comparing it with other advanced methods. And the experiment results show that our method has a good performance in addressing the model.
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Zhang, J., Ning, Z., Zhang, K., Kang, N. (2022). A Multi-objective Optimization Algorithm for Wireless Sensor Network Energy Balance Problem in Internet of Things. In: Pan, L., Cui, Z., Cai, J., Li, L. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2021. Communications in Computer and Information Science, vol 1565. Springer, Singapore. https://doi.org/10.1007/978-981-19-1256-6_2
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DOI: https://doi.org/10.1007/978-981-19-1256-6_2
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