Recent studies have tended towards incorporating Computation Intelligence, which is a
large umbrella for all Machine Learning and Metaheuristic approaches into wireless sensor …

Wireless sensor networks (WSNs) usually contain several energy-constrained sensor nodes
(SNs) to are required to work together for transmitting and collecting data. Clustering …

Wireless sensor networking is a promising technology that can lead to automatic, intelligent,
easier and more secure systems. A wireless sensor network (WSN) consists of small battery …

Purpose Efficient resource utilization in wireless sensor networks is an important issue.
Clustering structure has an important effect on the efficient use of energy, which is one of the …

Clustering is an effective technique in a wireless sensor network (WSN) to minimize energy
consumption and low-energy adaptive clustering hierarchy (LEACH) is the most popular …

Clustering-based routing is preferred to support fault tolerance, load balancing, reliable
communication, and to prolong the network lifetime in a wireless sensor network (WSN). The …

Energy consumption minimization is crucial for the constrained sensors in wireless sensor
networks (WSNs). Partitioning WSNs into optimal set of clusters is a promising technique …

In this paper, a Heuristic-Crossover Enhanced Evolutionary Algorithm for Cluster Head
Selection is proposed. The algorithm uses a novel heuristic crossover operator to combine …

In this paper, a new clustering protocol employing an iterated local search (ILS) to solve
cluster head selection problem is proposed. ILS uses a perturbation operator to change an …

One of the most well-known clustering methods for wireless sensor network is, no doubt, the
so-called low energy adaptive clustering hierarchy (LEACH) because it is simple and easy …