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Clustering in sensor networks: A literature survey

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Clustering in sensor networks: A literature survey. / Tayaraninajaran, Mohammadhassan; Afsar, Mehdi.

In: Journal of Network and Computer Applications, Vol. 46, 01.11.2014, p. 198-226.

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@article{3b107326479f4bd5a4fb8a01cbc76b42,
title = "Clustering in sensor networks: A literature survey",
abstract = "Wireless sensor networks (WSNs) have recently gained the attention of researchers in many challenging aspects. The most important challenge in these networks is energy conservation. One of the most popular solutions in making WSNs energy-efficient is to cluster the networks. In clustering, the nodes are divided into some clusters and then some nodes, called cluster-heads, are selected to be the head of each cluster. In a typical clustered WSN, the regular nodes sense the field and send their data to the cluster-head, then, after gathering and aggregating the data, the cluster-head transmits them to the base station. Clustering the nodes in WSNs has many benefits, including scalability, energy-efficiency, and reducing routing delay. In this paper we present a state-of-the-art and comprehensive survey on clustering approaches. We first begin with the objectives of clustering, clustering characteristics, and then present a classification on the clustering algorithms in WSNs. Some of the clustering objectives considered in this paper include scalability, fault-tolerance, data aggregation/fusion, increased connectivity, load balancing, and collision avoidance. Then, we survey the proposed approaches in the past few years in a classified manner and compare them based on different metrics such as mobility, cluster count, cluster size, and algorithm complexity.",
author = "Mohammadhassan Tayaraninajaran and Mehdi Afsar",
note = "{\textcopyright} 2014 Elsevier Ltd. All rights reserved.",
year = "2014",
month = nov,
day = "1",
doi = "10.1016/j.jnca.2014.09.005",
language = "English",
volume = "46",
pages = "198--226",
journal = "Journal of Network and Computer Applications",
issn = "1084-8045",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Clustering in sensor networks: A literature survey

AU - Tayaraninajaran, Mohammadhassan

AU - Afsar, Mehdi

N1 - © 2014 Elsevier Ltd. All rights reserved.

PY - 2014/11/1

Y1 - 2014/11/1

N2 - Wireless sensor networks (WSNs) have recently gained the attention of researchers in many challenging aspects. The most important challenge in these networks is energy conservation. One of the most popular solutions in making WSNs energy-efficient is to cluster the networks. In clustering, the nodes are divided into some clusters and then some nodes, called cluster-heads, are selected to be the head of each cluster. In a typical clustered WSN, the regular nodes sense the field and send their data to the cluster-head, then, after gathering and aggregating the data, the cluster-head transmits them to the base station. Clustering the nodes in WSNs has many benefits, including scalability, energy-efficiency, and reducing routing delay. In this paper we present a state-of-the-art and comprehensive survey on clustering approaches. We first begin with the objectives of clustering, clustering characteristics, and then present a classification on the clustering algorithms in WSNs. Some of the clustering objectives considered in this paper include scalability, fault-tolerance, data aggregation/fusion, increased connectivity, load balancing, and collision avoidance. Then, we survey the proposed approaches in the past few years in a classified manner and compare them based on different metrics such as mobility, cluster count, cluster size, and algorithm complexity.

AB - Wireless sensor networks (WSNs) have recently gained the attention of researchers in many challenging aspects. The most important challenge in these networks is energy conservation. One of the most popular solutions in making WSNs energy-efficient is to cluster the networks. In clustering, the nodes are divided into some clusters and then some nodes, called cluster-heads, are selected to be the head of each cluster. In a typical clustered WSN, the regular nodes sense the field and send their data to the cluster-head, then, after gathering and aggregating the data, the cluster-head transmits them to the base station. Clustering the nodes in WSNs has many benefits, including scalability, energy-efficiency, and reducing routing delay. In this paper we present a state-of-the-art and comprehensive survey on clustering approaches. We first begin with the objectives of clustering, clustering characteristics, and then present a classification on the clustering algorithms in WSNs. Some of the clustering objectives considered in this paper include scalability, fault-tolerance, data aggregation/fusion, increased connectivity, load balancing, and collision avoidance. Then, we survey the proposed approaches in the past few years in a classified manner and compare them based on different metrics such as mobility, cluster count, cluster size, and algorithm complexity.

U2 - 10.1016/j.jnca.2014.09.005

DO - 10.1016/j.jnca.2014.09.005

M3 - Article

VL - 46

SP - 198

EP - 226

JO - Journal of Network and Computer Applications

JF - Journal of Network and Computer Applications

SN - 1084-8045

ER -