The motive of this work is to provide the neural investigations using the artificial neural
networks (ANNs) through the particle swarm optimization for the singular two-point (STP) …

Industrialization has led to a huge demand for a network control system to monitor and
control multi-loop processes with high effectiveness. Due to these advancements, new …

Energy-aware data collection is of paramount importance for robotic and wireless sensor
networks. Although static sink-aided cluster-based protocols provide energy-efficient …

In wireless sensor networks (WSNs), a mobile sink accumulate the data instead of routing
directly to the sink to avoid the hotspot problem. In this process, it traverses a predetermined …

This study indicates the design of swarming procedure based on the stochastic framework of
artificial neural networks (ANNs) along with the particle swarm optimization (PSO) and …

Past studies reveal the benefits of using Mobile Sink in Wireless Sensor Networks to bring
about increased data collection efficiency and overall network performance in numerous …

Cascade failures are one of the key issues restricting the widespread application of the
Internet of Things (IoT). Under different routing modes, the cascade failure process of the IoT …

Data collection through the mobile sink in wireless sensor networks (WSNs) is an effective
solution to the hot-spot or sink-hole problem caused by multi-hop routings using the static …

This paper presents a quality of service (QoS) concerned energy efficient data gathering
protocol for wireless sensor network (WSN) by means of a mobile data collector (MDC) …

Abstract Wireless Sensor Network Deployment (WSND) is an active research topic. This
mechanism involves optimal placement of a wireless sensor network in a 2D environment …