Adaptive mobility-aware and reliable routing protocols for healthcare vehicular network

Area of Science:

• Vehicular Ad Hoc Networks (VANETs)
• Intelligent Transportation Systems (ITS)
• Healthcare Technology

Background:

• Ambulances and healthcare vehicles are crucial for remote elderly care, necessitating robust Healthcare Vehicular Ad Hoc Networks (H-VANETs).
• Vehicular network environments present challenges like restricted mobility, high speeds, and dynamic topologies, impacting Quality of Service (QoS).
• Developing reliable and scalable routing protocols is essential for trustworthy decision-making and efficient communication in vehicular networks.

Purpose of the Study:

• To introduce adaptive, mobility-aware, and reliable routing protocols for H-VANETs.
• To optimize and evaluate the performance of Optimized Link State Routing (OLSR) and Ad-hoc On-Demand Distance Vector (AODV) protocols.
• To propose a healthcare vehicle system architecture, a platoon-based routing model, and a dynamic channel model for vehicular communication.

Main Methods:

• Optimization of proactive (OLSR) and reactive (AODV) routing protocols considering network topology changes.
• Evaluation of Packet Delivery Ratio (PDR), throughput, Packet Loss Ratio (PLR), and end-to-end (E2E) delay.
• Simulation using Network Simulator (NS-3) with a dynamic channel model (IEEE 801.11p) and a platoon-based system model.

Main Results:

• AODV demonstrated superior performance in PDR and PLR, establishing a reliable communication link with good throughput.
• OLSR resulted in a significantly larger average E2E delay compared to AODV.
• The proposed adaptive, mobility-aware routing protocols offer potential for Intelligent Transportation Systems (ITS) with high reliability and low delay.

Conclusions:

• AODV is a more suitable routing protocol than OLSR for H-VANETs, providing better QoS metrics.
• Adaptive, mobility-aware routing protocols are crucial for enhancing the reliability and efficiency of ITS in healthcare applications.
• The study provides a foundation for advanced H-VANETs supporting remote elderly care and intelligent transportation.