The optimization techniques usually work with the maximization or minimization of the
problem to obtain the local loci or cumulative global loci. Two-dimensional bio-inspired …

Localization is recognized among the topmost vital features in numerous wireless sensor
network (WSN) applications. This paper puts forward energy‐efficient clustering and …

Localization in Wireless Sensor Networks (WSNs) has been an active topic for more than
two decades. A variety of algorithms were proposed to improve the localization accuracy …

Despite the wide improvement in wireless sensor networks, energy consumption is still
considered as the most important challenge in this kind of network. Previous research …

In our state-of-the-art study, we improve neural network-based models for predicting energy
consumption in buildings by parallelizing the CHC adaptive search algorithm. We compared …

The prevalent applications of WSN have fascinated a plethora of research efforts. Sensor
nodes have serious limitations such as battery lifetime, memory constraints, and …

Abstract Internet of Things (IoT) has emerged as a new paradigm that allows different
objects interconnection to create new smart services and applications. In this sense, key …

Sensor distribution is a significant issue in wireless sensor networks and has been
frequently sub-optimally solved by several heuristic algorithms. This research applies multi …

In this paper, an energy-efficient localization algorithm is proposed for precise localization in
wireless sensor networks (WSNs) and the process is accomplished in three steps. Firstly, the …

Localization is defined as most fundamental step in Wireless Sensor Networks (WSNs),
generally used for estimating the position of sensor nodes. However, localization is …