EECS: an energy efficient clustering scheme in wireless sensor networks

By Mao Ye, Chengfa Li, Guihai Chen, Jie Wu. PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005., 2005

899 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/d28666dfb7658d84d1d981f7aa3511d380345c2a

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In Computer Networks and Communications

Citations in the corpus

An unequal cluster-based routing protocol in wireless sensor networks (2009, methodology): “In EECS [ 12 ], a distance-based cluster formation method is proposed to produce clusters of unequal sizes.”
A Survey on Clustering Algorithms for Wireless Sensor Networks (2010, neutral): “EECS extends this algorithm by dynamic sizing of clusters based on cluster distance from the base station.”
A Survey on Clustering Routing Protocols in Wireless Sensor Networks (2012, methodology): “[21,22], is a clustering algorithm which better suits the periodical data gathering applications.”
A Survey on Successors of LEACH Protocol (2017, methodology): “Popular clustering routing algorithms in WSNs include LEACH [9], HEED [10], PEGASIS [11], EECS [12], EEMC [13], TEEN [14], PANEL [15] and T-LEACH [16].”
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution (2008, methodology): “In LEACH [15], HEED [16], UCS [17], EECS [18], and EEUC [19], hierarchical structures of the sensor network are constructed, and clustering schemes are proposed for the purpose of distributing energy depletion among all the nodes.”
Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks (2006, background): “EECS [15] elects the cluster-heads with more residual energy through local radio communication.”
An energy-efficient unequal clustering mechanism for wireless sensor networks (2005, methodology): “We review some of the most relevant papers [4]–[7], [9], [10].”
Clustering in sensor networks: A literature survey (2014, methodology): “Hybrid methods are usually iterative-based (Younis and Fahmy, 2004a), timer-based (Selvakennedy and Sinnappan, 2007) or competition-based (Ye et al., 2005).”