This mechanism involves optimal placement of a wireless sensor network in a 2D environment for optimizing a set of metrics, such as coverage and cost. The topic ...

Dec 1, 2021 · This mechanism involves optimal placement of a wireless sensor network in a 2D environment for optimizing a set of metrics, such as coverage and ...

A modified social class multiobjective particle swarm optimization (SC-MOPSO) method is proposed that is featured by application-dependent operators named ...

This code an implementation of the developed algorithm Social Class Particle Swarm Optimisation for Variable-length Wireless Sensor Network Deployment ...

The SCMOPSO algorithm was designed to solve the VND MO wireless network sensor deployment by Jubair et al. in [30] . It works with a population of particles ...

Social class particle swarm optimization for variable-length Wireless Sensor Network Deployment · List of references · Publications that cite this publication.

A modified social class multiobjective particle swarm optimization (SC-MOPSO) method is proposed that is featured by application-dependent operators named ...

Jun 12, 2023 · This article proposes a modified social class multiobjective particle swarm optimization (SC-MOPSO) method.

Sep 29, 2021 · 这种机制涉及在2D 环境中优化无线传感器网络的放置，以优化一组指标，例如覆盖范围和成本。WSND 的主题有两个具有挑战性的部分。首先，由于存在一组非支配 ...

Jun 12, 2023 · Data gathering in wireless sensor networks (WSNs) is vital for deploying and enabling WSNs with the Internet of Things (IoTs).