Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

Almost all evolutionary algorithms suffer from the problem of premature convergence and
stagnation in local optima. An approach based on an evolutionary algorithm is presented in …

One of the wireless sensor networks applications is to sense a discrete set of targets lying on
the field and maintain connectivity with the sink for data transmission. In addition, it needs to …

In wireless sensor networks (WSN), the data are collected from the sensor using the mobile
sink for preventing the energy-hole or hotspot problem through traversing the network …

Feature selection (FS) is used to solve hard optimization problems in artificial intelligence
and data mining. In the FS process, some, rather than all of the features of a dataset are …

Latest studies have exploited sink mobility as a pervasive approach to effectively mitigate
the energy hole problem frequently perceived in the clustered wireless sensor network. For …

Coverage is a fundamental issue in wireless sensor networks (WSNs). It plays a important
role in network efficiency and performance. When sensor nodes are randomly scattered in …

Abstract Wireless Sensor Networks (WSN) are a crucial part of the Internet of Things (IoT),
and research on WSN routing protocols has always been a hot topic in academia. However …

To increase the node coverage of wireless sensor networks (WSN) more effectively, in this
paper, we propose a hybrid-strategy-improved butterfly optimization algorithm (H-BOA) …