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Reseach Article

Enhancing Network Lifetime in Wireless Sensor Networks using Adaptive Threshold based Clustering

by Ankit Modi, Sanjay Thakur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 37
Year of Publication: 2019
Authors: Ankit Modi, Sanjay Thakur
10.5120/ijca2019918402

Ankit Modi, Sanjay Thakur . Enhancing Network Lifetime in Wireless Sensor Networks using Adaptive Threshold based Clustering. International Journal of Computer Applications. 182, 37 ( Jan 2019), 63-66. DOI=10.5120/ijca2019918402

@article{ 10.5120/ijca2019918402,
author = { Ankit Modi, Sanjay Thakur },
title = { Enhancing Network Lifetime in Wireless Sensor Networks using Adaptive Threshold based Clustering },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 182 },
number = { 37 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 63-66 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number37/30310-2019918402/ },
doi = { 10.5120/ijca2019918402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:37.455612+05:30
%A Ankit Modi
%A Sanjay Thakur
%T Enhancing Network Lifetime in Wireless Sensor Networks using Adaptive Threshold based Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 37
%P 63-66
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As IoT (Internet of things) has progressed at a massive pace, the clustering algorithms that are implemented for the wireless sensor networks have started to attain enormous importance. The wireless sensor network collected together mainly constitutes an IoT framework. A Wireless Sensor Network (WSN) is composed of a number of sensor nodes that are connected to each other. An optimized energy efficient routing protocol for the enhancement of network lifetime in Wireless Sensor Networks is proposed by this paper. The chief use of the protocol used lies in the fact that at the start of each iteration, it modifies the cluster size along with the cluster head in a dynamic manner. Also taken into account are the heterogeneous and non heterogeneous networks. A threshold based approach is also made use of in order to decrease the number of total transmissions that greatly reduces the consumption of energy. A concept of delay time is put forth for re-transmission of the data considering case of not exceeding the transmission threshold limit. This sort of secures the algorithm to a great extent. The results achieved show that the system proposed yields higher network lifetime in comparison to the previously existing methods.

References
  1. Abdul Waheed Khan, Abdul Abdullah, Mohammad Razzaque, Javed Bangash “VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks, IEEE 2015
  2. Jun Wang, Xuegang Zhu1, Yong Cheng and Yongsheng Zhu, “A Distributed, Hybrid Energy-Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network”, International Journal of Grid and Distributed Computing, Vol. 6, No. 4, August, 2013.
  3. Zhanyang Xu, Yue Yin, Jin Wang, “An Energy-efficient Clustering Routing Algorithm for Heterogeneous Wireless Sensor Networks”, NGCIT 2013, ASTL Vol. 27,2013.
  4. Jun Wang, Xuegang Zhu1, Yong Cheng and Yongsheng Zhu, “A Distributed, Hybrid Energy-Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network”, International Journal of Grid and Distributed Computing, Vol. 6, No. 4, August, 2013
  5. B. S Taruna, Sakshi Shringi, “Zone-Based Clustering Protocol for Heterogeneous Wireless Sensor Networks”, IJERA, 2013. S Taruna, Sakshi Shringi, “Zone-Based Clustering Protocol for Heterogeneous Wireless Sensor Networks”, IJERA, 2013.
  6. Nilima Rani Das, Debashree Mishra Sar, “Analytical Study on Energy Efficient Clustering Algorithms for Wireless Sensor Networks”, International Journal of Emerging Trends & Technology in Computer Science, 2012.
  7. M.Jagadeeswara Reddy, P.Chenna Reddy, A.Ganesh, “Energy-Efficient Self Reconfigurable Clustering Approach for Heterogeneous Wireless Sensor Networks, International Journal of Computer Applications, 2012.
  8. Afroz Mansoori, “Particle Swarm Optimized Distributed Energy Efficient Clustering Protocol for WSN”, International Journal of Digital Application & Contemporary research, 2012.
  9. S.R.Boselin Prabhu, Assistant Professor, “A Survey of Adaptive Distributed Clustering Algorithms for Wireless Sensor Networks”, International Journal of Computer Science & Engineering Survey (IJCSES) Vol.2, No.4, November 2011.
  10. D. Kumar, T.C. Aseri, R.B. Patel, “EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous”, Int. J. of Computers, Communications & Control, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Internet of Things (IoT) Wireless Sensor Networks (WSN) Clustering Routing Network Lifetime