A Survey on Clustering Algorithms for Wireless Sensor Networks

By Olutayo Kehinde Boyinbode, Hanh Le, Audrey J. W. Mbogho, Makoto Takizawa, Ravi Poliah. International Conference on Network-Based Information Systems, 2010

1,901 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/59ae5541e1dc71ff33b4b6e14cbbc5c3d46fc506

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Survey on Clustering Routing Protocols in Wireless Sensor Networks (2012, background): “[32].”
An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges (2014, methodology): “Power-efﬁcient & Increased Yield Approach (PRIYA) [130] was proposed to overcome this overhead by creating two CH’s instead of one.”
Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm (2017, neutral): “The use of a cluster head is common to improve efﬁciency in the WSN literature [34]–[36].”
Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey (2017, background): “Clustering improves scalability, simplifies routing, extends the network lifespan and conserves bandwidth [87].”
A Very Brief Introduction to Machine Learning With Applications to Communication Systems (2018, background): “Thanks to clustering, routing can be carried out more efficiently by routing first at the level of clusters, and then locally within each cluster [77].”
A survey on routing protocols in Wireless Sensor Networks (2012, background): “…of sensor nodes is very huge This leads to data-centric routing approach which is query-based protocol in which Base station sends query to a collection of particular nodes in a area and waits Kirola, Rawat, Bhatt and Bhatt 134 for response of data from the sensors placed in the certain area[4-6].”
Energy efficiency in wireless sensor networks: A top-down survey (2014, background): “For an extensive review of energy-aware routing protocols, survey articles can be found in [4,94,95].”
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications (2014, neutral): “classical clustering algorithms are presented in [78].”
Topology management techniques for tolerating node failures in wireless sensor networks: A survey (2014, background): “Finally, we enumerate open research issues that are yet to be investigated by the research community.”
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions (2011, background): “For more comprehensive surveys, the interested reader is referred to [1,2,4,10,46] and the references therein.”
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis (2014, background): “Despite a vast number of surveys for clustering algorithms available in the literature [1], [2], [7], and [38] for various domains (such as machine learning, data mining, information retrieval, pattern recognition, bio-informatics and semantic ontology), it is difficult for users to decide a priori…”
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks (2016, methodology): “Therefore, energy conservation of the sensor nodes is the main challenging issue in the development of a large scale WSNs. Clustering sensor nodes is one of the most effective techniques which is employed to conserve the energy of the sensor nodes [6].”
Clustering in sensor networks: A literature survey (2014, background): “Arboleda and Nasser (2006) 2006 Former, LEACH-based, Proactive, Reactive O, I, L Younis et al. (2006) 2006 Probabilistic, Iterative O, I, L Abbasi and Younis (2007) 2007 Convergence time O, L Kumarawadu et al. (2008) 2008 Identity-based, neighbor-based, probabilistic, biologically inspired O, I…”
Location, Localization, and Localizability (2010, background): “In addition, location information can also be used to rebuild clusters locally when new nodes join the network or some nodes suffer from hardware failure([24]).”
A Survey on Routing Protocols for Large-Scale Wireless Sensor Networks (2011, background): “The authors in [22,23] classified the hierarchical protocols according to the objectives, the desired cluster properties and the clustering process.”
Data Mining for Internet of Things: A Survey (2014, background): “• Mining algorithm (A): With needs (objective) and data clearly specified above, data mining algorithm can be easily determined, as to be discussed in Section III-E2.”
Strategies and techniques for node placement in wireless sensor networks: A survey (2008, methodology): “Clustering is a popular methodology for enabling a scalable WSN design [58].”
UAV-Assisted Data Collection for Internet of Things: A Survey (2022, methodology): “According to the control methods of clustering algorithms, the clustering algorithms can be classified into distributed clustering algorithms, hybrid clustering algorithms, and centralized clustering algorithms [49].”