Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications

  • Ahmed A. Salman Department of Electrical Engineering / College of Engineering/ University of Baghdad
  • Zainab T. Alisa Department of Electrical Engineering / College of Engineering/ University of Baghdad


Mobile Wireless sensor networks have acquired a great interest recently due to their capability to provide good solutions and low-priced in multiple fields. Internet of Things (IoT) connects different technologies such as sensing, communication, networking, and cloud computing. It can be used in monitoring, health care and smart cities. The most suitable infrastructure for IoT application is wireless sensor networks. One of the main defiance of WSNs is the power limitation of the sensor node. Clustering model is an actual way to eliminate the inspired power during the transmission of the sensed data to a central point called a Base Station (BS). In this paper, efficient clustering protocols are offered to prolong network lifetime. A kernel-based fuzzy C-means clustering algorithm (KFCM) is adopted to cluster sensor nodes, while a cluster head (CH) is selected for each cluster based on a fuzzy logic system. Results depicts that the new work performs better than the existing algorithms (as Low Energy Adaptive Cluster Hierarchy-Mobile (LEACH-M) and Low Energy Adaptive Cluster Hierarchy-Mobile Enhancement (LEACH-ME)) in terms of network lifetime, energy consumption, packet transmission and stability period.



Download data is not yet available.


T. Behera, S. Mohapatra, and U. Samal, "Energy Based Cluster-head Selection in WSNs for IoT Application," IEEE Internet of Things Journal, 2019

F. Kiani and A. Seyyedabbasi, "Wireless Sensor Network and Internet of Things in Precision Agriculture," International Journal of Advanced Computer Science and Applications Vol. 9, No. 6, pp. 220-226, 2018.

S. Vhatkar, "Performance Analysis of Equalized and Double Cluster Head Selection Method in Wireless Sensor Network, " Fourteenth International Conference on Wireless and Optical Communications Networks (WOCN) IEEE, pp. 1-5, 2017

G. S, T. G. Basavaraju, M.D. H., and Sarkar, S.K. Sarkar "Issues in Wireless Sensor Networks, " Proceedings of the World Congress on Engineering, p. 978-988, 2008.‏

S. Tarannum, "Energy Conservation Challenges in Wireless Sensor Networks: A Comprehensive Study, " Wireless Sensor Network, 2010.

E.K. Hamza and H.H. Alhayani, "Energy Consumption Analyzing in Single hop Transmission and Multi-hop Transmission for using Wireless Sensor Networks" Al-Khwarizmi Engineering Journal, Vol.14, No.1, pp. 156-163, 2018.

D. Kim, and Y. Chung, "Self-Organization Routing Protocol Supporting Mobile Nodes for Wireless Sensor Network, " First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06). IEEE, pp. 622-626, 2006.

G. S. Kumar, V. Paul MV, and, K. P Jacob., "Mobility Metric based LEACH-Mobile Protocol, " 16th International conference on advanced computing and communications. IEEE, pp. 248-253, 2008.

R. U. Anitha and P. Kamalakkannan, "Enhanced Cluster Based Routing Protocol for Mobile Nodes in Wireless Sensor Network, " International Conference on Pattern Recognition, Informatics and Mobile Engineering. IEEE, pp. 187-193, 2013.

S. A. B. C. Awwad, C. Ng, N. K. Noordin, and M. F. A. Rasid, "Cluster Based Routing Protocol for Mobile Nodes in Wireless Sensor Network, " International Symposium on Collaborative Technologies and Systems. IEEE, pp. 233-241, 2009.

A. S. Al-Zubaidi, and B. M. Mahmmod. "Re-evaluation of the stable improved LEACH routing protocol for wireless sensor network, " Proceedings of the International Conference on Information and Communication Technology. ACM, pp. 96-101, 2019.

Salem, A.O.A. and Shudifat, "Enhanced leach protocol for increasing a lifetime of WSNS," Personal and Ubiquitous Computing, pp.1-7, 2019.

H. Kumar, VP Chahal, and P. Raj "Improvement on LEACH Protocol in Wireless Sensor Networks, " International Journal of Computer Applications, Vol.97, No.21, pp1-4, 2019.

D. Vanisri, "A Novel Kernel Based Fuzzy C Means Clustering with Cluster Validity Measures, " International journal of computer science and network solutions, Vol.3, No.12, pp.254-260, 2014.

J. C. Bezdek, " FCM: The fuzzy c-means clustering algorithm, " Computers & Geosciences, Vol.10, No. 2-3, pp.191-203, 1984.

M. Negnevitsky, " Artificial intelligence: a guide to intelligent systems, " Pearson Education, 2nd edition, 2005.‏

Alami, Hassan El and A. Najid. "Energy-efficient fuzzy logic cluster head selection in wireless sensor networks, " International Conference on Information Technology for Organizations Development (IT4OD). IEEE, pp. 1-7, 2016.

Z. T. ALISA and H. NASSRULLAH, " Minimizing energy consumption in wireless sensor networks using modified genetic algorithm and an energy balance filter, " Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA). IEEE, pp. 1-6, 2016.

How to Cite
Salman, A., & Alisa, Z. (2019). Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications. Al-Khwarizmi Engineering Journal, 15(4), 79-90.