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Journal of Computers EIMEDLINEScopus

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篇名 Research on Path Planning and Location Optimization of Quantum Wireless Sensor Networks
卷期 31:5
作者 Xincan Fan 、 Xiaojun Wen 、 Shaosheng Jiang
頁次 324-330
關鍵字 Wireless sensor networks 、 quantum genetic 、 path planning 、 perceptual evolution 、 localization 、 EI 、 MEDLINE 、 Scopus
出刊日期 202010
DOI 10.3966/199115992020103105025

中文摘要

英文摘要

An iterative process search algorithm that enables “generation + monitoring” can be formed by combining quantum computing and evolutionary computation; This paper researches on how to apply quantum genetic algorithm to path planning and location optimization of wireless sensor networks and builds a path planning optimization model. It also adopts an adaptive adjustment strategy to improve the search for the optimal path, reduce network delay and energy consumption on wireless sensor nodes. In this paper, an optimization algorithm for reducing positioning error and correction is proposed to compensate the error and address local positioning optimization.

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