Abstract
Traffic related accidents and route congestions remain to dwell significant issues in the globe. To overcome this, VANET was proposed to enhance the traffic management. However, there are several drawbacks in VANET such as collision of vehicles, data transmission in high probability of network fragmentation and data congestion. To overcome these issues, the Enhanced Pigeon Inspired Optimization (EPIO) and the Adaptive Neuro Fuzzy Inference System (ANFIS) based methods have been proposed. The Cluster Head (CH) has been selected optimally using the EPIO approach, and then the ANFIS has been used for updating and validating the CH and also for enhancing the data transmission procedures. The dijkstra’s algorithm has been used for identifying the shortest path for data transmission. The results showcases that the proposed technique has attained the maximum Packet Delivery Ratios (PDRs) as 73.23% at a sensor radius of 130 m and 70.42% at a velocity of 10 km/h. Moreover, the proposed method has outperformed the existing technique in terms of the CH formation delay, the end to end delay and the PDR.
Highlights
According to the 2016 United Nations Census Report, the population of the cities is greater than that of the pastoral areas for the first time in human history
An Enhanced Pigeon Inspired Optimization (EPIO) approach and an Adaptive NeuroFuzzy Inference System (ANFIS) based methodologies have been presented for enhancing the traffic management and the data transmission procedures in Vehicular Ad hoc NETworks (VANET)
Results of the proposed methodology have been analyzed with different performance metrics like: Packet Delivery Ratio (PDR), end to end delay and Cluster Head (CH) formation delay
Summary
According to the 2016 United Nations Census Report, the population of the cities is greater than that of the pastoral areas for the first time in human history. 54.5% of the world’s population is living the in urban regions and by 2030 it is expected that 60% of the world’s population will subsist in the metropolitan regions [1]. This raises the number of vehicles in the urban areas. The increasing number of vehicles leads to traffic congestion. Traffic congestion has increased [4] and according to the survey, there are repeated cross-sectional accidents that lead to brutal punishments [5]. To solve these problems, traffic congestion must be properly managed.
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