Abstract
The Coimbatore is one of the leading tier two cities in India. Vehicles in this city are increasing day by day. The VANET is a self-organizing network between vehicles. There are so many interesting issues in VANET. So many routing protocols are already availing in the market. In this paper, we put forward an adaptive quality of service (QoS) based smart routing for VANETs with ant colony optimization algorithm find a smart route in Coimbatore city. This smart routing protocol is to adaptively choose the connections in the various available nodes, through which data packets clearance to reach the destination. The selected smart route should fulfill with the QoS constraints and satisfy the best QoS in terms of three metrics, namely connectivity, probability, packet delivery ratio and delay. The AQRV and Ant colony algorithm was simulated. The comparative result was studied at various optimal positions in the city.
Highlights
The VANET is one of the emerging technologies that are derivative of the mobile ad hoc networks (MANETs) and WSN. [21]A MANET is a type of network that can alter positions and organize itself on the flutter. [22] A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions
We put forward an adaptive quality of service (QoS) based smart routing for VANETs with ant colony optimization algorithm find a smart route in Coimbatore city
The VANET is one of the emerging technologies that are derivative of the MANET and WSN. [21]A MANET is a type of network that can alter positions and organize itself on the flutter
Summary
The VANET is one of the emerging technologies that are derivative of the MANET and WSN. [21]A MANET is a type of network that can alter positions and organize itself on the flutter. [22] A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions. Smart route will identify the congestion level in the path where the destination is located. Based on the congestion level the vehicle will detect the alternate path for avoiding road traffic. Once the smart route is identified the vehicle will travel in particular path. The smart route finding along with AQRV and ACO had improved the overall QoS. The AQRV and ACO will used to find the optimized path for finding the traffic congestion from source to destination node.The main idea of VANET is to protect vehicle from road accidents. This can be achieved by smart rout finding
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
