Abstract
Background: In a Wireless Sensor Network, one of the important issues is minimizing
energy consumption without losing accuracy during data transmission. Communication must be
released in an optimized way, which enhances energy efficiency in the networks.
Methods: By applying various techniques especially node balance set, the network lifetime is
increased and delay is minimized. To accomplish node balance set, Cluster Head (CH)
determination mechanism is implemented and clustering based load balanced is established.
Further, the enactment of the anticipated designs is established through simulations in the
circumstance of scalable data transmission in a WSN.
Results & Conclusion: Hypothetical study and experimental simulations are studied by various
performance evaluation metrics namely clock offset, number of transmitted messages, delayed
messages and Residual Energy. The results confirm that clustering with node balance set saves
more energy in WSN and also it reduces synchronization errors.
Keywords:
Clustering, Cluster Head, Load Balance, Synchronization, TPSN, Wireless Sensors Networks.
Graphical Abstract
[3]
Shu Q, Jong SP. Fault-tolerance data aggregation for clustering wireless sensor network. Wirel Pers Commun 2013; 51(1): 179-92.
[5]
Ran G, Zhang H, Gong S. Improving on LEACH protocol of wireless sensor networks using fuzzy logic. J Inf Comput Sci 2010; 7(3): 767-75.
[8]
Guiloufi AB, Nasri N, Kachouri A. MED-BS clustering algorithm for the small-scale wireless sensors networks, Scient Res J of Wirel. Sens Netw 2013; 5(4): 67-75.
[9]
Rezaie A, Mirnia M. CMQ: Clustering based multipath routing algorithm to improving QoS in wireless sensor networks. IJCSI Int J Comp Sci 2012; 9(3): 156-60.
[10]
Bhuvaneswari PT, Vaidehi V. Enhancement technique incorporated in LEACH: a survey. Indian J Sci Technol 2009; 2(5): 36-44.
[11]
Nasri N, Guloufi AB, A Kachouri. Optimised cross-layer synchronisation schemes for wireless sensor networks Int J elect 2017; 104(7): 1178-89.
[17]
Tadeo C, Otero O, Tse J, Manohar R. AES hardware-software co-design in WSN. Proceeding of IEEE international symposium on asynchronous circuits and systems. 2015 May 4-6; USA, California: IEEE 2015.
[19]
Marques B, Ricardo M. Synchronization of application-driven WSN. EURASIP J Wirel Commun Netw 2017; 2017(37): 1-22.
[21]
Greunen JV, Rabaey J. Lightweight time synchronization for sensor networks. Proceeding of 2nd ACM Int Workshop on Wireless Sensor Networks and Applications. 2003 Sep 19; San Diego, USA: ACM 2003.
[22]
Ganeriwal S, Kumar R, Adlakha S, et al. Network-wide time synchronization in sensor networks Technical Report Networked and Embedded Systems Lab: Elec Eng Dept UCLA 2003.