Design and implementation of smart home energy management systems based on zigbee

TLDR

ZigBee and IEEE802.15.4 are widely used for energy‑management and automation in homes and buildings, enabling flexible integration of appliances, sensors, and wireless communication into a complex green‑home network. The authors propose a ZigBee‑based Smart Home Energy Management System (SHEMS) that introduces a Disjoint Multi‑Path Routing (DMPR) protocol to enhance network performance and deliver intelligent control services to users. SHEMS partitions network tasks among components, integrates diverse sensor data, and controls consumer devices through an active sensor network of sensors and actuators, with its design validated in a real‑world deployment.

Abstract

Today, organizations use IEEE802.15.4 and ZigBee to effectively deliver solutions for a variety of areas including consumer electronic device control, energy management and efficiency home and commercial building automation as well as industrial plant management. The Smart home energy network has gained widespread attentions due to its flexible integration into everyday life. This next generation green home system transparently unifies various home appliances, smart sensors and wireless communication technologies. The green home energy network gradually forms a complex system to process various tasks. Developing this trend, we suggest a new Smart Home Energy Management System (SHEMS) based on an IEEE802.15.4 and ZigBee (we call it as a "ZigBee sensor network"). The proposed smart home energy management system divides and assigns various home network tasks to appropriate components. It can integrate diversified physical sensing information and control various consumer home devices, with the support of active sensor networks having both sensor and actuator components. We develop a new routing protocol DMPR (Disjoint Multi Path based Routing) to improve the performance of our ZigBee sensor networks. This paper introduces the proposed home energy control system's design that provides intelligent services for users. We demonstrate its implementation using a real environment.