Journal of Electrical Technology
Vol 11, No 3 (2026): Edisi Oktober

Performance Analysis of ZigBee IEEE 802.15.4 in Star Topology Using Network Simulator-3

Anhar Anhar (University of Riau)
Suwitno Suwitno (University of Riau)
Rangga Byian Tri Putra (University of Riau)
Adinda Juita (University of Riau)
Ahmad fauzan (University of Riau)



Article Info

Publish Date
06 Oct 2026

Abstract

This study presents a comprehensive performance analysis of ZigBee IEEE 802.15.4 operating in a star topology, simulated using Network Simulator-3 (NS-3 v3.46.1). Five network configurations—comprising 10, 20, 30, 40, and 50 nodes—were evaluated across four Quality-of-Service (QoS) metrics: packet loss, end-to-end delay, jitter, packet delivery ratio (PDR), and throughput. A total of 150 per-node observations were collected and subjected to descriptive statistics, one-way Analysis of Variance (ANOVA), Tukey HSD post-hoc tests, Pearson correlation analysis, and linear regression modeling. ANOVA results confirmed highly significant differences across all node configurations (p < 0.001) for every metric. Pearson correlation revealed strong positive associations between node count and packet loss (r = 0.852) and jitter (r = 0.666), and a strong negative association with PDR (r = −0.852). Linear regression models demonstrated that each additional node increases packet loss by approximately 1.01% and end-to-end delay by 0.30 s. The results indicate that ZigBee in star topology performs adequately for small IoT deployments (≤10 nodes) but degrades significantly beyond 20 nodes due to MAC-layer contention and CSMA/CA backoff collisions. These findings provide empirical benchmarks for ZigBee network designers and IoT system engineers.

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Journal Info

Abbrev

jet

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Description

Focus and Scope Journal of Electrical Technology is a peer-reviewed scientific journal that publishes high-quality original research papers, review articles, and technological developments in the fields of Electrical Engineering, Computer Engineering, and Informatics Engineering. The journal aims to ...