A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based...

Area of Science:

• Biomedical Engineering
• Wireless Sensor Networks
• Internet of Things (IoT)

Background:

• Body Area Sensor Networks (BASNs) are crucial for IoT-enabled healthcare, monitoring vital signs via body-placed biosensors.
• BASNs face challenges like short battery life and unreliable data transmission due to unstable channel conditions.
• These limitations can degrade data gathering quality, necessitating improved data transmission mechanisms.

Purpose of the Study:

• To propose a novel, multiobjective routing protocol for BASN-based IoT healthcare applications.
• To address challenges of local search problems and optimize dynamic cluster-based routing.
• To enhance data gathering quality and network performance in BASNs.

Main Methods:

• Development of a novel, multiobjective, lion mating optimization-inspired routing protocol named SARP.
• Implementation of dynamic cluster-based routing solutions for source-to-destination communication in BASNs.
• Extensive simulations to validate the proposed SARP scheme against existing routing protocols.

Main Results:

• SARP significantly improves packet delivery rate, residual energy, and throughput.
• The protocol effectively reduces latency and packet error rates in BASNs.
• Performance validation shows SARP outperforms existing protocols in key metrics for health monitoring.

Conclusions:

• The proposed SARP scheme offers a reliable data transmission mechanism for BASN-based healthcare applications.
• SARP enhances overall network performance, including energy efficiency and data quality.
• This optimized routing protocol is vital for advancing IoT-enabled health monitoring systems.