Optimal Multipath Routing for Video Transmission in VANETs
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Optimal Multipath Routing for Video Transmission in VANETs Shivaprasad More1 · Udaykumar Naik2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The communication among the vehicles in Vehicular Ad Hoc Network (VANET) plays a major role in the improvement of safety in critical situations of road scenario. With the implementation of VANET, the transmission of videos to other vehicles is done in an improved way. A new algorithm, known as Moth Whale Optimization Algorithm (MWOA) is proposed in this paper to determine the optimal multipath for the transmission of the videos from one vehicle to other in the VANET network. The proposed algorithm is developed with the integration of Moth Search (MS) algorithm and Whale Optimization Algorithm (WOA). Initially, the VANET is simulated and the optimal selection of the multipath is done using adaptive geographic routing scheme based on the fitness measure. The performance of the proposed Moth Whale Optimization Algorithm is estimated with the metrics, such as Packet delivery Ratio (PDR), Packet end-to-end delay, and the throughput. The Moth-Whale Optimization Algorithm produces the minimum end-to-end delay of 4.4427, and maximum Packet delivery ratio and throughput of 96.5135 and 94.2429, respectively, which shows the superiority of the method in effective video transmission. Keywords Vehicular ad hoc network · Optimization · Adaptive · Routing scheme · Throughput
1 Introduction VANET is one of the developing network criterions that are enabled in order to provide the safety and to enable the effective transportation of the information among them [1]. VANET enables communication between source and destination, and is developed based on infra-structure-less network. It offers the data to the vehicles to provide safety in terms of vehicle to vehicle communication (V2V) or vehicle to infrastructure communication (V2I) [2]. In general, the VANET vehicles send the request to the Road side unit (RSU) either with normal data transmission or through an Emergency Message (EM). In order to * Shivaprasad More [email protected] 1
Computer Science and Engineering Department, Sanjay Ghodawat University, Kolhapur, Maharashtra 416118, India
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Electronic & Communication Department, KLE Dr. M.S. Sheshgiri College of Engineering & Technology, Belagavi, Karnataka, India
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S. More, U. Naik
improve the safety measures for the vehicles that are available on highways, an algorithm termed as customizing channel access probabilities in VANET was developed in [3]. This method focussed on lowering the number of collisions and three important factors are considered in this method that included the communication delay, traffic conditions [4, 5], and Perception reaction time (PRT). The Emergency message (EM) received from the vehicles is very urgent and so it is necessary to disseminate the message throughout the network. In addition to safety, VANETs are used in video streaming [6–8]. Several methods [6] aim on reducing the error va
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