Coverage Optimization Strategy for Wireless Sensor Networks Based on Improved Northern Goshawk Optimization Algorithm

Coverage optimization of wireless sensor networks (WSNs) faces challenges such as uneven node distribution and vulnerability to coverage blind spots. This paper introduces and improves the Northern Goshawk Optimization (NGO) algorithm: the Logistic chaotic map is adopted to initialize the population...

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Autori principali:	Shuxin Wang, Yonglong Deng, Nuomei Lan, Li Cao, Zihao Cheng, Mengji Xiong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-05-01
Serie:	Biomimetics
Soggetti:	wireless sensor networks coverage optimization northern goshawk optimization Tent chaotic map Gaussian–Lévy mutation
Accesso online:	https://www.mdpi.com/2313-7673/11/6/378
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