Weighted Distance Hyperbolic Prediction-Based Detection Scheme for Non Line Of Sight nodes in VANETs

• Main Authors: Amuthan Arjunan, Kaviarasan R.
• Format: Article
• Language: English
• Published: Elsevier 2021-05-01
• Series: Journal of King Saud University: Computer and Information Sciences
• Subjects: Weighted Distance Hyperbolic Prediction; Non Line of Sight Nodes; Range free algorithms; Anchor-based schemes
• Online Access: http://www.sciencedirect.com/science/article/pii/S1319157818300545

Vehicular Ad hoc Network (VANET) is considered as the potential network for implementing risk-free environment that facilitates least cluttered and safer interaction between the vehicular nodes. The issue of handling channel contention and broadcasting storm during the exchange of warning messages between the emergency vehicles and the Non Line Of Sight (NLOS) nodes is an area of major concern in congestive scenarios for vehicular network. NLOS nodes under emergency situation need to be effectively predicted such that the emergency vehicle is efficient enough in delivering the required information to the NLOS nodes in the stipulated time period with reduced overhead and time delay under a high degree of channel utilization. Weighted Distance Hyperbolic Prediction-Based Detection Scheme (WDHPBDS) is proposed as an effective mechanism that forecasts the NLOS nodes under dynamic moments of vehicular nodes using the merits of range free algorithm that integrates dynamic properties of hyperbolic properties. The simulation of WDHPBDS is investigated using EstiNet 8.1 network simulator by combining the data and management planes of the vehicular network. The results of WDHPBDS analyzed using warning message delivery rate, neighborhood awareness rate and channel utilization rate is confirmed to be 24%, 21% and 27% better to the compared NLOS detection schemes.