Cluster-head election using fuzzy logic for wireless sensor networks

By Indranil Gupta, Denis Riordan, Srinivas Sampalli. Conference on Communication Networks and Services Research, 2005

634 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Mechanical Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/e308bc93ded1f8efeeebe72ef67a13f3dbe5aeea

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In Computer Networks and Communications

In Mechanical Engineering

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Citations in the corpus

Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication (2012, methodology): “Based on LEACH, most existing fuzzy clustering approaches [9]–[15] considered the residual energy of sensor nodes during the CH selection.”
CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks (2008, methodology): “Recently, Gupta[6] proposed that the overhead of cluster head election may be highly reduced by using fuzzy logic.”
Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “The .rst hierarchical solution for WSNs was the LEACH [Heinzelman et al. 2000], but several others have been proposed since then [Halgamuge et al. 2003; Kochhal et al. 2003; Mhatre and Rosenberg 2004; Hoang and Motani 2005a; Gupta et al. 2005].”
Clustering in sensor networks: A literature survey (2014, methodology): “The local distance is the sum of distances between a node and other nodes within its radius r. LEACH-FL (Ran et al., 2010) is an improvement on LEACH similar to Gupta and Sampalli (2005). which uses three descriptors: node residual energy, node degree and distance from the BS to compute the chance.”
A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime (2016, background): “In [3]–[8], many clustering protocols have been discussed.”
Computational Intelligence in Wireless Sensor Networks: A Survey (2011, methodology): “CI Paradigm Algorithm Articles Simulation/Real-deployment/ Overview Centralized/ Distributed NN Sensor Intelligence Routing [74] OLIMPO simulation Distributed Fuzzy logic Fuzzy-Clusters* [75] Java simulation Centralized EA GA-Routing* [76] Java simulation Centralized TwoTier-GA* [77] Java simulation”