Open Access

ARTICLE

Optimization Model Proposal for Traffic Differentiation in Wireless Sensor Networks

by Adisa Hasković Džubur^*, Samir Čaušević, Belma Memić, Muhamed Begović, Elma Avdagić-Golub, Alem Čolaković

Faculty of Traffic and Communications, University of Sarajevo, Sarajevo, 71000, Bosnia and Herzegovina

* Corresponding Author: Adisa Hasković Džubur. Email:

Computers, Materials & Continua 2024, 81(1), 1059-1084. https://doi.org/10.32604/cmc.2024.055386

Received 25 June 2024; Accepted 05 September 2024; Issue published 15 October 2024

Abstract

Wireless sensor networks (WSNs) are characterized by heterogeneous traffic types (audio, video, data) and diverse application traffic requirements. This paper introduces three traffic classes following the defined model of heterogeneous traffic differentiation in WSNs. The requirements for each class regarding sensitivity to QoS (Quality of Service) parameters, such as loss, delay, and jitter, are described. These classes encompass real-time and delay-tolerant traffic. Given that QoS evaluation is a multi-criteria decision-making problem, we employed the AHP (Analytical Hierarchy Process) method for multi-criteria optimization. As a result of this approach, we derived weight values for different traffic classes based on key QoS factors and requirements. These weights are assigned to individual traffic classes to determine transmission priority. This study provides a thorough comparative analysis of the proposed model against existing methods, demonstrating its superior performance across various traffic scenarios and its implications for future WSN applications. The results highlight the model’s adaptability and robustness in optimizing network resources under varying conditions, offering insights into practical deployments in real-world scenarios. Additionally, the paper includes an analysis of energy consumption, underscoring the trade-offs between QoS performance and energy efficiency. This study presents the development of a differentiated services model for heterogeneous traffic in wireless sensor networks, considering the appropriate QoS framework supported by experimental analyses.

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Keywords

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