کنفرانس بین المللی محاسبات نرم

صفحه اصلی / ششمین کنفرانس بین المللی محاسبات نرم

Optimizing Real-Time Data Latency in WSNs through Adaptive Routing Strategies

نویسندگان :

Azam sadat Mirtajadini¹ Seyyed Hamid Ghafouri²

1- دانشگاه آزاد اسلامی واحد کرمان 2- دانشگاه آزاد اسلامی واحد کرمان

کلمات کلیدی :

Wireless Sensor Networks،Adaptive Routing Strategies،Data Latency Optimization،Mobile Sink Mobility،Rendezvous Points،Energy Efficiency

چکیده :

Wireless sensor networks (WSNs) are challenged by the difficulty of low-latency data delivery for real-time IoT applications, causing inefficiency or safety issues. This study explores sink rate and rendezvous point-aided adaptive routing protocols to reduce latency while preserving energy efficiency and reliability. NS-3 simulations were implemented with WSNs of 100–500 nodes with high-traffic conditions, comparing adaptive and static protocols. Various sink rates (0.1–1.0 packets/second) and rendezvous points (5–20% of nodes) were tested over 100 runs. Adaptive routing cut latency by 35% (450 ms to 292 ms), with the best performance at 0.5–0.7 packets/second, with delays under 200 ms. Moreover, it exhibited improved resilience, with a 15% rise in latency at 20% node failures, whereas static protocols showed 40%. Statistical analysis (ANOVA, p<0.001) validated the findings. Further tests using physical testbeds are recommended.