An Adaptive QoS Model for Sustainable Energy in ZigBee Based Home Area Network

Today, one way to make electricity supply and consumption efficient, reliable, convenient, and cost-effective is by using the Smart Grid (SG) system. The SG utilizes renewable and non-renewable energy sources, together with embedded digital and information technologies to make possible the communication between electricity producers and consumers for effective power generation, distribution, and management. One of the functional units of SG is the Home Area Network (HAN). It comprises the home appliances, actuators and sensors that produce electrical data within the network. For our research consideration, we focus on the ZigBee-based HAN. A major challenge for HAN is achieving an optimum Quality-of-service (QoS) delivery across the network. Despite the interest in this area of study, little progress has been made to put together an algorithm or develop a model that will resolve response time concerns. In this paper, we propose an adaptive QoS model that uses real-time feedback loop and a queuing model predictor to control the admittance of data into the ZigBee Coordinator's queue. This ensures the desired performance control is obtained.