Abstract
Internet of Vehicles (IoV) is one of the developing models in the Vehicular adhoc networks (VANETs) with the vast improvement of communication technologies. In order to improve data transmission among the multiple communities without link breakage, a novel Trilateral Location Identified Maximum Weighted Directive Spanning Tree (TLIMWDST) technique is introduced. The proposed TLIMWDST technique consists of two major phases, namely location identification and optimal path identification to improve the reliability of data transmission from source vehicle to destination vehicle. In the first phase, the location of the neighboring vehicles is identified by applying a trilateration technique. After the location identification, an optimal route path between the source and destination is identified using Maximum Weighted Directive Spanning Tree (MWDST) through the intermediate nodes. The performance of the TLIMWDST technique is assessed through simulation as compared to the previous path selection techniques in terms of different routing metrics such as packet delivery ratio, packet loss rate, end-to-end delay and throughput with respect to the number of data packets.
Highlights
THE enormous growth of vehicles on roads, Internet of Vehicles (IoV) has become one of the significant field providing better explanations for the smart transportation system
The performance of the TLIMWDST technique is evaluated with three existing methods, namely CIoVS [1], RPSPF [2], IDCIoV[3] using the performance metrics such as packet delivery ratio, packet loss rate, end to end delay and throughput
The average of ten results signifies that the TLIMWDST technique considerably increases the performance of the packet delivery ratio by 11% when compared to CIoVS [1] and 7% when compared to RPSPF [2] and 3% when compared to IDCIoV[3] respectively
Summary
THE enormous growth of vehicles on roads, IoV has become one of the significant field providing better explanations for the smart transportation system. The designed algorithm improves the data delivery and minimizes the delay but the exact neighboring location identification was not performed. An enhanced intelligent hybrid routing protocol was introduced in [12] to discover the stable route path for data transmission between a source and a destination based on three significant factors of the vehicle such as speed, direction, and neighbor nodes. A new TLIMWDST technique is proposed to find the reliable route path that considers the expected packet loss rate and improves data delivery through the connectivity of vehicular nodes. A novel TLIMWDST technique is introduced for increasing the reliability of data transmission from source to destination vehicle by implementing the two processes, namely location identification and optimal path identification. The graph comprises the ‘n’ vertices and n − 1 edges
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