Fuzzy modelling based energy aware clustering in wireless sensor networks using modified invasive weed optimization

EEFCM-DE: energy-efficient clustering based on fuzzy C means and differential evolution algorithm in WSNs

(2019) Richa Sharma et al.   IET Communications

Genetic algorithm based fault tolerant clustering in wireless sensor network

(2017) Kasilingam Rajeswari et al.   IET Communications

Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach

(2016) E. Golden Julie et al.   TheScientificWorldJOURNAL

Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach

(2016) E. Golden Julie et al.   Scientific World Journal

GAECH: Genetic Algorithm Based Energy Efficient Clustering Hierarchy in Wireless Sensor Networks

(2015) B. Baranidharan et al.   Journal of Sensors

A novel differential evolution based clustering algorithm for wireless sensor networks

(2014) Pratyay Kuila et al.   APPLIED SOFT COMPUTING

A Novel Differential Evolution Invasive Weed Optimization Algorithm for Solving Nonlinear Equations Systems

(2013) Yongquan Zhou et al.   Journal of Applied Mathematics

Solving nonlinear equations systems with a new approach based on invasive weed optimization algorithm and clustering

(2011) Ebrahim Pourjafari et al.   Swarm and Evolutionary Computation

Invasive Weed Optimization and its Features in Electromagnetics

(2010) S. Karimkashi et al.   IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

TDMA scheduling algorithms for wireless sensor networks

(2009) Sinem Coleri Ergen et al.   WIRELESS NETWORKS