@article{MAKHILLIJSSCEA202114328832,
    title = {Fuzzy Logic Method for Enhancement Fault-Tolerant of Cluster Head in Wireless Sensor
Networks Clustering},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {14},
    number = {3},
    pages = {41-49},
    year = {2021},
    issn = {1997-5422},
    doi = {ijssceapp.2021.41.49},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2021.41.49},
    author = {Mansour and},
    keywords = {Wireless sensor networks; clustering,cluster head selection,fuzzy logic system,fault-tolerant},
    abstract = {Wireless sensor network is comprised of
several sensor nodes which have been organized in terms
of their application requirement. They recognize
incidents, collect and transfer information. This type of
network is in the exposure of the numerous challenge
depending on the network surroundings. Environmental
factors, typical breakdowns and hardware/software
problems influence the network operation directly.
Perhaps, the routing protocols of simple structures, the
destruction of one node or some is not so sensible
whereas in the clustering structure the destruction of a
cluster head can induce the loss of information of some
nodes in the network. The recommended protocol, hence,
pursuits a way to increase the fault-tolerant of the cluster
head in the cluster network. At first, paying attention to
the improvement of the cluster structure and producing a
balance in the density of the cluster cause to postpone the
death time of the cluster head node and lessen the
collision and prevent networks cutting into fragments due
to the lack of the energy balance in clusters. The
innovation in this stage is formed by using two fuzzy
logic systems. One in the phase of evaluation of the
cluster head chance and the other in the phase of
producing balance and the nodes migration to the
qualified clusters to increase balance in the clusters, In the
next stage, the focus is on the recognizing and repairing
the cluster head fault by checking the vitality of the
cluster head node and also determining the backup node
in time slices using fuzzy logic system. Increasing the
network life time and reducing the number of the dropped
packages of the network as a result of simulation
demonstrate that the recommended method has acted
more successfully than the existing clustering algorithms
and algorithms which use fault-tolerant system.}
    }