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Swarm Intelligence Based Algorithm for Efficient Routing in VANET
Vehicular Adhoc Networks (VANETs) are the special form of Mobile Adhoc Networks (MANETs) developed for the efficient communication among the vehicles to vehicle (V2V) infrastructure. VANET promotes road safety and is the key to Intelligent Transport System. VANET has emerged as one of the dynamic area of research. VANETs main aim is to improve road safety, optimize traffic flow, and reduce traffic congestion, decrease pollution and promotes information dissemination. VANET can be used as a driver’s assistance for communication and coordination among each other to avoid any critical situation through V2V communication e.g. random braking, obstacles, accidents on road, bumper to bumper jams, random increase in speed, pathways for emergency vehicles like fire, police, and ambulance, etc. Along with these precautionary applications, VANETs are also useful for comfort applications to the drivers and passengers. For example, multimedia applications, internet connectivity, weather forecast, and infotainments during drives.
VANET has its own issues and challenges, like multipath fading and road obstacles, traffic congestion, random change of vehicle speed and its mobility, road topology, traffic diversion model, driver’s unpredictable driving behavior, etc. VANET mobility is not as same as that of MANET since in VANET, the vehicle has to strictly follow the rules of traffic laws and this makes node movement too complex. There are many limitations in VANET and these challenges have to be solved in order to provide reliable services in a network. Hence, reliable and stable routing is one of the major issues in VANET. So, dedicated research in this field is required to implement accurate methods in realistic environments. The vehicles dynamic behaviour and high mobility speed makes routing in VANET even more challenging.
The present research work “Swarm Intelligence based Algorithm for Efficient Routing in VANET” provides a novel framework and approach that enhance the Intelligent Transport System for a Better World.
VANET has its own issues and challenges, like multipath fading and road obstacles, traffic congestion, random change of vehicle speed and its mobility, road topology, traffic diversion model, driver’s unpredictable driving behavior, etc. VANET mobility is not as same as that of MANET since in VANET, the vehicle has to strictly follow the rules of traffic laws and this makes node movement too complex. There are many limitations in VANET and these challenges have to be solved in order to provide reliable services in a network. Hence, reliable and stable routing is one of the major issues in VANET. So, dedicated research in this field is required to implement accurate methods in realistic environments. The vehicles dynamic behaviour and high mobility speed makes routing in VANET even more challenging.
The present research work “Swarm Intelligence based Algorithm for Efficient Routing in VANET” provides a novel framework and approach that enhance the Intelligent Transport System for a Better World.
153 pages, Kindle Edition
Published February 5, 2025
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