Jiang Dengying, Yu Ling, Wang Fei, Xie Xiaoxia, Yu Yongsheng
School of Science, Wuhan University of Technology, Wuhan, Hubei, China.
Physical Science and Technology Department, Central China Normal University, Wuhan, Hubei, China.
PLoS One. 2017 Nov 13;12(11):e0188026. doi: 10.1371/journal.pone.0188026. eCollection 2017.
To improve the traditional smart home system, its electric wiring, networking technology, information transmission and facility control are studied. In this paper, we study the electric wiring, networking technology, information transmission and facility control to improve the traditional smart home system. First, ZigBee is used to replace the traditional electric wiring. Second, a network is built to connect lots of wireless sensors and facilities, thanks to the capability of ZigBee self-organized network and Genetic Algorithm-Particle Swarm Optimization Algorithm (GA-PSOA) to search for the optimal route. Finally, when the smart home system is connected to the internet based on the remote server technology, home environment and facilities could be remote real-time controlled. The experiments show that the GA-PSOA reduce the system delay and decrease the energy consumption of the wireless system.
为改进传统智能家居系统，对其电气布线、网络技术、信息传输和设施控制进行了研究。在本文中，我们研究电气布线、网络技术、信息传输和设施控制以改进传统智能家居系统。首先，使用ZigBee取代传统电气布线。其次，由于ZigBee自组织网络能力以及遗传算法-粒子群优化算法（GA-PSOA）搜索最优路径的能力，构建了一个连接大量无线传感器和设施的网络。最后，当智能家居系统基于远程服务器技术连接到互联网时，家庭环境和设施可以进行远程实时控制。实验表明，GA-PSOA减少了系统延迟并降低了无线系统的能耗。
