Node clustering in wireless sensor networks: recent developments and deployment challenges

By Ossama Younis, Marwan Krunz, Srinivasan Ramasubramanian. IEEE Network, 2006

824 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4688225d88dd04a38215019862d8188767b80678

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “For instance, dynamic strategies [156] and game-theoretic approaches [157] can be considered to design adequate pricing and insourcing/outsourcing algorithms.”
Federated Learning in Smart City Sensing: Challenges and Opportunities (2020, neutral): “This means that Mobile Crowdsensing sensors performs best in well populated urban metropolitan districts where there is an ample amount of people with smart devices to achieve a wide coverage [103].”
A survey on nature inspired metaheuristic algorithms for partitional clustering (2014, background): “and coverage area [17], energy balanced cluster routing in WSN [237], clustering in mobile ad hoc networks to determine the”
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…”
Infotainment and road safety service support in vehicular networking : From a communication perspective $ (2010, background): “, wireless mesh networks [74], wireless sensor networks [75]), new clustering approaches specifically designed for VANETs are imperative due to their unique networking attributes.”
A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks (2017, methodology): “An efﬁcient method of increasing the lifetime of WSNs is to partition the network into several clusters under the control of a high-energy cluster head [84], which the network can rely on.”