Optimized Distributive Cross-Layer and Thermal-Aware Convergecast Protocol for Wireless Body Area Network

Abstract:

The Internet of Healthcare Things has transformed patient-doctor relationships by enabling home healthcare. The IEEE 802.15.6 wireless body area network requires cross-layer and thermal-aware protocols for healthcare data. Most cross-layer protocols have long convergence delays and one failure point.

These protocols also abuse broadcasts and handshake acknowledgments, causing communication and processing overheads. Thermal-aware protocols focus on thermal variations, disperse data collection, and do not support cross-layer techniques.

This project proposes a thermal-aware distributive cross-layer convergecast protocol. The proposed protocol enforces a novel hybrid convergecast using probability and both minimum attenuation strategies to collect data from leaf nodes to the root to improve data flow and network adaptability. Reducing broadcasts and acknowledgments speeds up convergence, improving energy efficiency and thermal control.

Multiple parent-child relationships support a distributive hierarchy in the proposed protocol. Based on weights, a multi-parameter maximum benefit-cost function calculates the next hop. Packet loss probability verifies sink node packet number and sequence.

Cross-layer and thermal-aware protocols coexist well in simulations. By controlling thermal rise, the proposed protocol reduces delays to 19.4%, increases throughput from 8% to 13.75%, and maintains a packet loss probability of 0.3%.

Keywords: Routing Protocols, Wireless Communication, Body Area Networks, Reliability, Routing, Relays, Wireless Sensor Networks, Medical Services, Internet Of Things, Thermal Analysis, Body Area Networks, Health Care, Internet, Mobile Radio, Protocols, Telecommunication Network Reliability

Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.