Solving a complex optimization problem in a limited timeframe is a tedious task.
Conventional gradient-based optimization algorithms have their limitations in solving …

Clustering is a promising technique for optimizing energy consumption in sensor-enabled
Internet of Things (IoT) networks. Uneven distribution of cluster heads (CHs) across the …

The rapid advancement in Wireless Sensor Network (WSN) technology has enabled smart
environments to provide ubiquitous real-time applications in various fields such as industry …

Antenna arrays are able to improve the directivity performance and reduce the cost of
wireless communication systems. However, how to reduce the maximum sidelobe level …

Wireless rechargeable sensor networks with a charging unmanned aerial vehicle (CUAV)
have broad application prospects in the power supply of the rechargeable sensor nodes …

The beam pattern synthesis of antenna arrays is one of the most significant optimization
problems in the electromagnetics community, and it affects the performance of wireless …

Biogeography-based optimization (BBO) is a swarm intelligence optimization algorithm
based on migration and mutation operations, which is usually used to solve the complex …

Wireless power transfer based on charging unmanned aerial vehicles (CUAVs) is a
promising method for enhancing the lifetime of wireless rechargeable sensor networks …

A fuzzy logic and DEEC protocol-based clustering routing method for wireless sensor
networks Page 1 AIMS Mathematics, 8(4): 8310–8331. DOI: 10.3934/math.2023419 …

Mobile wireless sensor networks (MWSNs) are resource constrained, and have limited
energy and transmission range. Distributed collaborative beamforming (DCB) in MWSNs …