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Cited by 668

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

A Survey on Clustering Routing Protocols in Wireless Sensor Networks

Open access
Liu, Xuxun·2012·Sensors

Abstract

The past few years have witnessed increased interest in the potential use of wireless sensor networks (WSNs) in a wide range of applications and it has become a hot research area. Based on network structure, routing protocols in WSNs can be divided into two categories: flat routing and hierarchical or clustering routing. Owing to a variety of advantages, clustering is becoming an active branch of routing technology in WSNs. In this paper, we present a comprehensive and fine grained survey on clustering routing protocols proposed in the literature for WSNs. We outline the advantages and objectives of clustering for WSNs, and develop a novel taxonomy of WSN clustering routing methods based on complete and detailed clustering attributes. In particular, we systematically analyze a few prominent WSN clustering routing protocols and compare these different approaches according to our taxonomy and several significant metrics. Finally, we summarize and conclude the paper with some future directions.

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Metadata

Authors
Liu, X.
Venue
Sensors
Publisher
MDPI AG
Published
2012-08-09
Volume
12
Issue
8
Pages
11113-11153
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2161371274
Cited by
668
References
37
FWCI
64.99
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Survey on Clustering Routing Protocols in Wireless Sensor Networks. https://app.cochat.ai/papers/10.3390/s120811113
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Liu, X. (2012). A Survey on Clustering Routing Protocols in Wireless Sensor Networks. Sensors. https://doi.org/10.3390/s120811113

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.