Synchronization Based on Node Balance Set for Energy Conservation in Wireless Sensor Networks

Author(s): Nejah Nasri*, Salim El Khediri, Mansour Rached, Abdennaceur Kachouri

Journal Name: Current Signal Transduction Therapy

Volume 14 , Issue 2 , 2019

Become EABM
Become Reviewer

Graphical 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.

Djenouri D, Bagaa M. synchronization protocols and implementation issues in wireless sensor networks: a review. IEEE Syst J 2016; 10(2): 617-62.
Mukhopadhyay SC. Wearable sensors for human activity monitoring: a review. IEEE Sens J 2015; 15(3): 1321-30.
Shu Q, Jong SP. Fault-tolerance data aggregation for clustering wireless sensor network. Wirel Pers Commun 2013; 51(1): 179-92.
Borges L, Velez F, Lebres A. Survey on the characterization and classification of wireless sensor network applications. IEEE Comm Surv and Tutor 2014; 16(4): 1860-90.
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.
Yanagihara Z, Taketsugu J. Energy-Aware clustering scheme with transmission power control for sensor networks. Wirel Pers Commun 2007; 40(3): 401-15.
Younis O, Fahm S. HEED: A hybrid, energy-efficient, distributed clustering approach for adhoc sensor networks. IEEE Trans Mobile Comput 2004; 3(4): 366-79.
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.
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.
Bhuvaneswari PT, Vaidehi V. Enhancement technique incorporated in LEACH: a survey. Indian J Sci Technol 2009; 2(5): 36-44.
Nasri N, Guloufi AB, A Kachouri. Optimised cross-layer synchronisation schemes for wireless sensor networks Int J elect 2017; 104(7): 1178-89.
Devesh PS, Goudar RH, Bhasker P, Sreenivasa R. Cluster head selection by randomness with data recovery in WSN. CSI Trans ICT 2014; 2(2): 97-107.
Ma T, Xu Z, Hempel H, Peng D, Sharif H. Performance analysis of a novel low-complexity high-precision timing synchronization method for wireless sensor networks. IEEE Trans Wirel Commun 2014; 13(9): 47-58.
Sivrikaya F, Yener B. Time Synchronization in Sensor Networks: A Survey. IEEE Netw 2010; 18(4): 45-50.
Ranganathan P, Nygard K. Time synchronization in wireless sensor networks: a survey. Int J UbiComp 2010; 1(2): 92-102.
Chen Y, Zhao Q. On the lifetime of wireless sensor networks. IEEE Commun Lett 2015; 9(11): 976-8.
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.
Apicharttrisorn K, Choochaisri S, Intanagonwiwat C. Energy- Efficient gradient time synchronization for wireless sensor networks. Proceeding of Second International Conference on Computational Intelligence, Communication Systems and Networks. 2010 September 28-30; India: IEEE 2010.
Marques B, Ricardo M. Synchronization of application-driven WSN. EURASIP J Wirel Commun Netw 2017; 2017(37): 1-22.
Maroti M, Kusy B, Simon G, Ledeczi A. The flooding time synchronization protocol. Proceedings of the 2nd international conference on Embedded networked sensor systems. 2004 nov 3-5; New York, USA: ACM Press 2004.
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.
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.
Chelli A, Bagaa M, Djenouri D, Balasingham I, Taleb T. One-Step approach for two-tiered constrained relay node placement in wireless sensor networks. IEEE Wirel Commun Lett 2016; 5(4): 448-51.

open access plus

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2019
Published on: 10 October, 2019
Page: [138 - 145]
Pages: 8
DOI: 10.2174/1574362413666180913124154

Article Metrics

PDF: 15