In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …

In an era where people in the world are concerned about environmental issues, companies
must reduce distribution costs while minimizing the pollution generated during the …

Cat swarm optimization (CSO) has been applied to a variety of fields because of the better
capacity of searching for optimum and higher robustness. However, the poor convergency …

The wireless sensor network (WSN) is composed of a set of sensor nodes. It is deemed
suitable for deploying with large-scale in the environment for variety of applications. Recent …

The life time extension in the wireless sensor network (WSN) is the major concern in real
time application, if the battery attached with the sensor node life is not optimized properly …

Underwater wireless sensor network is characterized with dynamic network topology owing
to node mobility. Frequent changes in position of nodes due to water current cause network …

In recent days bio-inspired computing is playing an important role in the area of research.
Especially bio-inspired algorithms which are inspired by the behavior of nature are …

The meta-heuristic algorithm is used in the research of various complex problems. Due to
the limitations of the original meta-heuristic algorithm, many improved meta-heuristic …

A number of studies have been actively conducted to address limited energy resources in
sensor systems over wireless sensor networks. Most of these studies are based on energy …

Heterogeneous cluster‐based wireless sensor networks (WSN) attracted increasing
attention recently. Obviously, the clustering makes the entire networks hierarchical; thus …