Minimizing Redundancy in Wireless Sensor Networks Using Sparse Vectors

In wireless sensor networks, sensors often collect and transmit a large amount of redundant data, which can lead to excessive battery consumption and subsequent performance degradation. To solve this problem, this paper proposes a Zoom-In Zoom-Out (ZIZO) method based on sparse vectors (SV-ZIZO). It...

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Autors principals:	Huiying Yuan, Cuifang Gao
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-03-01
Col·lecció:	Sensors
Matèries:	wireless sensor networks sparse vector compression temporal and spatial similarity sample rate adjustment
Accés en línia:	https://www.mdpi.com/1424-8220/25/5/1557
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