Research Article

Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks

Volume: 35 Number: 2 June 1, 2022
EN

Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks

Abstract

In wireless sensor networks (WSNs), it is vital to adopt a suitable mobile routing algorithm between sensor nodes and mobile sinks (MSs) for data gathering efficiently. In WSNs, random mobility of the MSs increases the mobile path length in the network when data traffic bursts. Therefore, the focus of this study is to overcome burst traffic in an energy-efficient way using the MSs in the network. In this study, a new burst traffic awareness adaptive mobile routing scheme based on heterogeneous WSNs has been developed. The network area is divided into two cluster groups in the proposed scheme, each with a certain number of clusters. In the network, a MS of each cluster group acts. The MSs gather all data in a single-hop attitude as soon as they arrive at the clusters. In this way, the energy load is distributed evenly among the network. Once a burst data is detected in the routing model, a MS updates its trajectory to the cluster head (CH) where the burst occurs. The performance results validate that the proposed methodology outperforms recent studies based on the network lifetime, average energy consumption, and average mobile path length. Also, the effect of the burst traffic situations on network efficiency is analyzed with simulation.

Keywords

Supporting Institution

Scientific and Technological Research Council of Turkey (TUBITAK)

Project Number

120E379

Thanks

This study is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with project number 120E379.

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

June 1, 2022

Submission Date

January 18, 2021

Acceptance Date

April 18, 2021

Published in Issue

Year 2022 Volume: 35 Number: 2

APA
Yalçın, S., & Erdem, E. (2022). Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks. Gazi University Journal of Science, 35(2), 506-522. https://doi.org/10.35378/gujs.863598
AMA
1.Yalçın S, Erdem E. Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks. Gazi University Journal of Science. 2022;35(2):506-522. doi:10.35378/gujs.863598
Chicago
Yalçın, Sercan, and Ebubekir Erdem. 2022. “Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks”. Gazi University Journal of Science 35 (2): 506-22. https://doi.org/10.35378/gujs.863598.
EndNote
Yalçın S, Erdem E (June 1, 2022) Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks. Gazi University Journal of Science 35 2 506–522.
IEEE
[1]S. Yalçın and E. Erdem, “Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks”, Gazi University Journal of Science, vol. 35, no. 2, pp. 506–522, June 2022, doi: 10.35378/gujs.863598.
ISNAD
Yalçın, Sercan - Erdem, Ebubekir. “Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks”. Gazi University Journal of Science 35/2 (June 1, 2022): 506-522. https://doi.org/10.35378/gujs.863598.
JAMA
1.Yalçın S, Erdem E. Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks. Gazi University Journal of Science. 2022;35:506–522.
MLA
Yalçın, Sercan, and Ebubekir Erdem. “Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks”. Gazi University Journal of Science, vol. 35, no. 2, June 2022, pp. 506-22, doi:10.35378/gujs.863598.
Vancouver
1.Sercan Yalçın, Ebubekir Erdem. Performance Analysis of Burst Traffic Awareness Based Mobile Sink Routing Technique for Wireless Sensor Networks. Gazi University Journal of Science. 2022 Jun. 1;35(2):506-22. doi:10.35378/gujs.863598

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