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Literature Review on Bio-inspired Algorithms for VANETs to Support Intelligent Transportation Systems

Literature Review on Bio-inspired Algorithms for VANETs to Support Intelligent Transportation Systems

Top Literature Review on Bio-inspired Algorithms for VANETs to Support Intelligent Transportation Systems

   In order to support reliable and safer VANET communication, different types of routing protocols are employed. However, network complexity, frequent link breakages, heterogeneous devices, and high-speed vehicles hinder the performance of VANET routing protocols. The bio-inspired algorithms optimize the performance of VANET routing by modeling the route searching behavior of VANET routing protocols into bio-inspired food searching methods like ants and bees. The bio-inspired algorithms are mainly classified under three evolutionary categories, swarm intelligence and biologically inspired. The bio-inspired algorithms have strong potential to rectify the issues of VANET dynamism, data transmission complexity, minimum scalability, and robustness.


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