TY  - JOUR
T1  - Optimizing the ZigBee Networks Lifetime with a Grey Wolf Algorithm
AU - Solomon Jebaraj, N.R. AU - Keshavan, H.R. 
JO  - Asian Journal of Information Technology
VL  - 16
IS  - 6
SP  - 472
EP  - 478
PY  - 2017
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2017.472.478
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2017.472.478
KW  - IEEE 802.15.4/ZigBee
KW  -personal area network
KW  -Genetic algorithm
KW  -Grey Wolf algorithm
KW  -operations
KW  -periodically
AB  - 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.
ER  -