A NOVEL FRAMEWORK FOR BEACON RATE AND POWER ADAPTION USING BACTERIAL FORAGING OPTIMIZATION ALGORITHM IN VANET

Abstract-Vehicular Adhoc Nework (VANET) is emerging & very efficient technology, consisting enabling wireless communication between vehicles for exchanging information like speed, density ,position, safety, accident & handling. Beacon a periodic message used for exchanging these information. The main problem in VANET is the absence of central entity for monitoring and collision due to congestion in highly dynamic environment. In this paper bacterial foraging optimization (BFO) is used to enhance beacon rate and power by node to node reduction in frequency, proving more awareness between vehicle, increasing neighboring nodes and optimize vehicular density to avoid collision.