Metaheuristics have been extensively used for solving difficult optimization problems in
recent years. However, according to the famous theory (No Free Lunch), it is infeasible for a …

This paper proposed a distributed genetic algorithm (DGA) to solve the energy efficient
coverage (EEC) problem in the wireless sensor networks (WSN). Due to the fact that the …

Lifetime requirements and coverage demands are emphasized in wireless sensor networks.
An area coverage algorithm based on differential evolution is developed in this study to …

This paper proposes a sensor node activation method using the nature-inspired algorithm
(NIA) for the target coverage problem. The NIAs have been used to solve various …

In unstructured wireless sensor networks (WSNs), which consist of a dense collection of
sensor nodes deployed randomly, the communication and processing capabilities of sensor …

This paper reports the design of a randomly deployed heterogeneous wireless sensor
network (HWSN) with two types of nodes: a powerful node and an ordinary node. Powerful …

Metaheuristics are suitable for optimizing a broad class of problems. Subsequently,
metaheuristics have attracted the attention of researchers from diverse engineering fields …

Energy efficiency is the major issue that arises in Wireless Sensor Networks (WSNs).
Batteries that are typically the main power source of a WSN have a restricted lifetime. Hence …

This paper designs Heterogeneous Wireless Sensor Network (HWSN) with two types of
nodes: powerful node and ordinary node. Powerful nodes as Cluster Heads (CHs) …