Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication
By Jin-Shyan Lee, Wei Cheng. IEEE Sensors Journal, 2012
464 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b8c4f23c082f1de38f4d291c386f1aa5230e46d6
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In Computer Networks and Communications
In Electrical and Electronic Engineering
Citations in the corpus
- Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks (2013, background): “Further studies on the LEACH algorithm could be found in [6], [7].”
- Clustering in sensor networks: A literature survey (2014, methodology): “…the approach are based on the following formula: Probability ¼ ðBattery level  2ÞþNode density þð2 À distanceÞ: ð9Þ A fuzzy-logic-based clustering approach is proposed in LEACH- ERE (Lee and Cheng, 2012b) in which using fuzzy techniques, each CH is elected based on the residual energy prediction.”
- Big data for cyber physical systems in industry 4.0: a survey (2019, methodology): “Generally speaking, fuzzy logic (Lee and Cheng 2012; Melin and Castillo 2014) is the common way to convert a non-overlapping clustering algorithm into an overlapping one.”