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Arranging cluster sizes and transmission ranges for wireless sensor networks
Authors:Wei Kuang Lai  Chung Shuo Fan  Lin Yan Lin
Affiliation:1. Department of Civil Engineering, National Chung Hsing University, Taichung, Taiwan;2. Department of Civil Engineering, KLE College of Engineering and Technology, Belgaum, India;3. Hydraulic Engineering, Department of Civil Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden;1. INRIA, France;2. Univ. Grenoble Alpes, France;3. Univ. of Lyon, France;1. Servicio de Cirugía Ortopédica y Traumatología, Complejo Asistencial de Ávila, Ávila, Spain;2. Geriatra, Complejo Asistencial de Ávila, Ávila, Spain;3. Medicina Preventiva, Hospital Universitario Río Hortega, Valladolid, Spain;1. Department of Systems Engineering and Control, University College of Engineering at Vitoria-Gasteiz, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain;2. Department of Electrical and Electronics Engineering, Technology Faculty, Gazi University, TR-06500, Be?evler, Ankara, Turkey;3. Department of Electrical and Electronics Engineering, Faculty of Engineering, Aksaray University, Aksaray, Turkey;1. Laboratoire de Photovoltaïque, Centre des recherches et des technologies de l’énergie, technopole de Borj-Cédria, PB:95, Hammam Lif, 2050, Tunisia;2. Office national des mines, Ministère de l''industrie, de l’énergie et des mines, Tunisia
Abstract:Hierarchical routing is an efficient way to lower energy consumption within a cluster. Due to the characteristics of wireless channels, multi-hop communications between a data source and a data sink are usually more energy efficient than direct transmission. However, because the cluster heads (CHs) closer to the data sink are burdened with heavy relay traffic, they drain much faster than other CHs.This paper presents a cluster-based routing protocol called “arranging cluster sizes and transmission ranges for wireless sensor networks (ACT).” The aim is to reduce the size of clusters near the base station (BS), as CHs closer to the BS need to relay more data. The proposed method allows every CH to consume approximately the same amount of energy so that the CHs near the BS do not exhaust their power so quickly. Furthermore, we separate the network topology into multiple hierarchical levels to prolong network lifetime. Simulation results show that our clustering mechanism effectively improves the network lifetime over LEACH (Low Energy Adaptive Clustering Hierarchy), BCDCP (Base Station Controlled Dynamic Clustering Protocol) and MR-LEACH (multi-hop routing with low energy adaptive clustering hierarchy).
Keywords:
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