Authors : N.R. Solomon Jebaraj and H.R. Keshavan
Abstract: The modern industrial automation requires effective and flexible communication protocol such as standard IEEE 802.15.4 ZigBee protocol. It specifies physical and media access control layers to ensure guarantee delivery and to achieve low power. The internal topology of this protocol consists of sensors devices, cluster coordinator and Personal Area Network (PAN) coordinator. While processing the data, the PAN coordinator transmits the Beacon frame to its cluster coordinators and the sensor nodes receivesthe Beacon frames from cluster coordinates periodically. During this process collision occurs, it results in poor performance. To enhance the efficiency of network, this research applied a metaheuristics algorithm named Grey wolf optimizer is selected for scheduling problem to coordinate the transmission. In Wireless Personal Area Network (WPAN), the cost and power are the two fundamental factors considered in IEEE standard 802.15.4 while applying the protocol to different applications, it need more power to operate and offer more bandwidth. In sensor networks, the reliability and security are depending upon the factors such as network lifetime and battery operations. Hence, the proposed scheduling algorithm is analyzed and compared with genetic algorithm to evaluate the performance of IEEE 802.15.4.
N.R. Solomon Jebaraj and H.R. Keshavan, 2017. Optimizing the ZigBee Networks Lifetime with a Grey Wolf Algorithm. Asian Journal of Information Technology, 16: 472-478.