Performance Analysis of Various Data Collection Schemes used in VANET

Abstract

Objectives: The main objective of this paper is to find the best method for collecting the data for VANET in terms of communication overhead, average latency and packet delivery ratio. Methods/Analysis: OMNet++ is used to compare the existing techniques for data collection in VANET at single RSU. Performance Index is calculated by finding the Communication Overhead (CO), average latency and Packet Delivery Ratio (PDR) for each scheme of data collection. The scheme with higher value of performance index will outperform others. Simulation parameters like dimension of space, minimum velocity and maximum velocity of vehicles are kept constant. Findings: Comparison of different Data Collection Schemes is done on the basis of performance index. Performance Index shows the effectiveness of data collection schemes. PI is based on various parameters like CO, Latency, and PDR. PI of a data collection scheme decreases when CO increases and vice-versa. So, if number of messages will increase CO will increase and hence will decrease the PI. PI of a data collection scheme decreases when latency increases and vice-versa. So, if time delay is more latency will increase and hence will decrease the PI. PI of a Data Collection Schemes increases when PDR increases and vice-versa. So, if number of packets received by a destination will be more PDR will increase and hence will increase the PI. Analysis of results show that PI of VIB-CP is the best among all DCSs, as it has less CO, low latency, and high PDR. Novelty/Improvement: Comparison of heterogeneous Data Collection Schemes is made on same parameters and their performance index is measured. Out of all existing schemes it is analyzed that VIB-CP outperforms.