Abstract
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.
Highlights
The smart home has gained widespread attentions due to its flexible integration into everyday life
We introduce a Genetic Algorithm-Particle Swarm Optimization Algorithm (GA-Particle Swarm Optimization Algorithm (PSOA)) method to improve the energy consuming of network nodes and the response rate of the smart system [13,14]
We uses hybrid Genetic Algorithm-Particle Swarm Optimization Algorithm (GA-PSOA) to search for the optimization route [18,19], which can improve the performance of routing path selected
Summary
The smart home has gained widespread attentions due to its flexible integration into everyday life. We pay attention to the energy consumption of the wireless nodes and the network’s delay. For this purpose, the use of a low-cost network and an optimal routing approach will benefit. The optimal routing algorithm will overcome these defects and decrease the energy consumption, prolong the service life of the nodes [11,12]. We introduce a GA-PSOA method to improve the energy consuming of network nodes and the response rate of the smart system [13,14]. Our main contribution is to design a GA-PSOA algorithm to search for the globe optimal routing with a fast speed, which improves the decreasing of energy expand and reduces the system delay.
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