Adaptive Mobility and Reliability-based Routing Protocol for Smart Healthcare Management Systems in Vehicular Ad‐hoc Networks
Dr. Baskar SanjeeviSchool of Engineering and Technology, Vels Institute of Science, Technology & Advanced Studies, India. baskar133.se@velsuniv.ac.in0000-0002-0810-3755
Salim Saleh Said Al KhadouriFaculty of Business and Communications, INTI International University, Malaysia. salims0007@hotmail.com0009-0004-7823-7312
Dr. Anantha Raj A. ArokiasamyFaculty of Business and Communications, INTI International University, Malaysia. anantharaj.asamy@newinti.edu.my0000-0001-9784-6448
Dr. Arasu RamanFaculty of Business and Communications, INTI International University, Malaysia. arasu.raman@newinti.edu.my0000-0002-8281-3210
Ambulances enable digital and widespread remote care for older people in the healthcare sector. The Vehicular Ad Hoc Network (VANET) is critical for allowing the digital and Intelligent Transportation System (ITS) for the smart healthcare world. Enhancing the dependability and flexibility of an adaptive routing algorithm improves vehicular communications' Quality of Service (QoS) effectiveness. An essential concern in vehicular technology is enabling drivers to make reliable judgments. Developing an effective routing system that ensures a suitable QoS takes time and effort. The vehicular network ecosystem is characterized by limited mobility, fast vehicle speeds, and constantly changing configurations. This study makes four distinct contributions. Initially, it presents adaptive routing protocols, capable of recognizing changes in the network environment, aware of the mobility of nodes, and dependable in delivering data packets. The experimental configuration is implemented inside a discrete Network Simulator (NS-3) scenario to enhance the QoS. Mobility-aware routing algorithms can provide ITS with satisfactory mobility, vital dependability, high Packet Delivery Ratio (PDR), high throughput, and low End-to-End (E2E) Delay. The proposed method has an average throughput of 664.3 kbps, a delay of 151.3 ms, and a packet delivery ratio (PDR) of 94.23%.