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@article{182932,
author = {Diwakara Vasuman M S and Dr. Sridhara Acharya and Santhosh S G and Gunav S},
title = {Optimization & Performance Analysis of the MCPS Algorithm, Fuzzy-Based Dynamic Slot Allocation, Emergency Slot Handling Method, and Interference Reduction-Based Channel Access Method of IoT-Integrated Wireless Body Area Networks for Healthcare Systems},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {2},
pages = {3676-3691},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=182932},
abstract = {Wireless Body Area Networks (WBANs) have become integral to modern healthcare, enabling real-time monitoring of patient health data through IoT integration. However, efficient data transmission, energy conservation, and interference mitigation remain critical challenges. This paper examines the performance of four essential algorithms: Minimum Cost Parent Selection Algorithm (MCPSA), Fuzzy-Based Dynamic Slot Allocation (FB-DSA), Emergency Slot Handling Method (ESH), and Interference Reduction-Based Channel Access Method (IR-CA). These algorithms optimize routing, time slot management, emergency response, and interference reduction. A performance evaluation based on energy efficiency, latency, throughput, and interference mitigation is conducted using NS-3 simulations. Results demonstrate that MCPSA improves network lifetime by 25%, FB-DSA reduces latency by 30%, ESH ensures a 90% reduction in emergency data transmission delay, and IR-CA enhances signal quality by 40%. The findings validate the effectiveness of these approaches, presenting graphical insights and comparative analysis to support future healthcare WBAN advancements.},
keywords = {Minimum Cost Parent Selection Algorithm (MCPSA)1, Fuzzy-Based Dynamic Slot Allocation (FB-DSA)2, Emergency Slot Handling Method (ESH)3, and Interference Reduction-Based Channel Access Method (IR-CA)4.},
month = {July},
}
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