Utilizing the Improved QPSO Algorithm to Build a WSN Monitoring System

This research uses the improved Quantum Particle Swarm Optimization (QPSO) algorithm to build an Internet of Things (IoT) life comfort monitoring system based on wireless sensing networks. The purpose is improve quality intelligent life. functions include automatic basketball court lighting system, infants’ sleeping posture and accidental falls elderly, human thermal measurement other related services, etc. On hardware IoT, this latest version ZigBee 3.0, which optical sensors, 3-axis accelerometers, temperature/humidity sensors in IoT perception layer. In network transmission layer, central architecture used for connection. application we have designed a graphical interface real-time values information that can be read at any time place using mobile devices. study, authors use QPSO calculation part, so target effectively positioned outside numerous surveillance data. study various sensor data fusion technologies make becomes able provide more extensive even better services than ever before. short, work has proven effective way reduce power consumption, medical higher lift level.