Journal ArticleDOI
A survey on clustering algorithms for wireless sensor networks
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A taxonomy and general classification of published clustering schemes for WSNs is presented, highlighting their objectives, features, complexity, etc and comparing of these clustering algorithms based on metrics such as convergence rate, cluster stability, cluster overlapping, location-awareness and support for node mobility.About:
This article is published in Computer Communications.The article was published on 2007-10-01. It has received 2283 citations till now. The article focuses on the topics: Cluster analysis & Wireless sensor network.read more
Citations
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Proceedings ArticleDOI
A survey on routing protocols in Wireless Sensor Networks
TL;DR: A survey of state-of-the-art routing techniques in Wireless Sensor Networks (WSNs) and compares the routing protocols against parameters such as power consumption, scalability, mobility, optimal routing and data aggregation.
Journal ArticleDOI
A survey on clustering algorithms for wireless sensor networks
TL;DR: This paper synthesises existing clustering algorithms news's and highlights the challenges in clustering.
Journal ArticleDOI
Strategies and techniques for node placement in wireless sensor networks: A survey
Mohamed Younis,Kemal Akkaya +1 more
TL;DR: This paper reports on the current state of the research on optimized node placement in WSNs, and categorizes the placement strategies into static and dynamic depending on whether the optimization is performed at the time of deployment or while the network is operational, respectively.
Journal ArticleDOI
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
Adil Fahad,Najlaa Alshatri,Zahir Tari,Abdullah Alamri,Ibrahim Khalil,Albert Y. Zomaya,Sebti Foufou,Abdelaziz Bouras +7 more
TL;DR: Concepts and algorithms related to clustering, a concise survey of existing (clustering) algorithms as well as a comparison, both from a theoretical and an empirical perspective are introduced.
Journal ArticleDOI
Energy efficiency in wireless sensor networks: A top-down survey
TL;DR: A top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks is presented and a new classification of energy-conservation schemes found in the recent literature is presented.
References
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Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal ArticleDOI
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
O. Younis,Sonia Fahmy +1 more
TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Proceedings ArticleDOI
PEGASIS: Power-efficient gathering in sensor information systems
TL;DR: PEGASIS (power-efficient gathering in sensor information systems), a near optimal chain-based protocol that is an improvement over LEACH, is proposed, where each node communicates only with a close neighbor and takes turns transmitting to the base station, thus reducing the amount of energy spent per round.
Journal ArticleDOI
A survey on routing protocols for wireless sensor networks
Kemal Akkaya,Mohamed Younis +1 more
TL;DR: The three main categories explored in this paper are data-centric, hierarchical and location-based; each routing protocol is described and discussed under the appropriate category.
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HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
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