Optimal control (OCl) can be traced back to the 1960s when it was utilised for solving an
optimisation problem (OP). In the OCl technique, a stable controller can be obtained by …

As the nodes in wireless sensor networks (WSNs) are powered by batteries, energy
efficiency is a major concern. Since communication consumes the most energy, efficient …

In this paper, a new hybrid Manta Ray Foraging Optimization (MRFO) with Cuckoo Search
(CS) algorithm (AMRFOCS) is proposed. Firstly, quantum bit Bloch spherical coordinate …

Clustering is one of the most important approaches used to extend the lifetime of Wireless
Sensor Networks (WSN). The fundamental metric taken by clustering algorithms is energy …

The data aggregation with the aid of mobile sink in wireless sensor networks (WSNs) is a
promising solution to the recent hot-spot or sink-hole issues induced by multi-hop routing …

The tremendous increase in wireless network application finds distributed allocation of
resources allocation very useful in the network. Packet delivery ratio and delay can be …

Efficient energy management in WSNs is pivotal for prolonged network lifetime and
sustained performance. This research introduces a novel approach to energy optimization …

The wireless sensor network (WSN) is a distributed sensor network that monitors and stores
environmental data wirelessly by connecting dispersed sensor nodes. Since wireless sensor …

Accurate forecasting of future demand is essential for decision-makers and institutions in
order to utilize the sources effectively and gain competitive advantages. Machine learning …

The widespread use of Wireless Sensor Networks (WSN) in Internet of Things (IoT) causes
energy efficiency issues. This paper proposes an AI-based solution to this problem. The …