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Beaconless Traffic-Aware Geographical Routing Protocol for Intelligent Transportation System

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Intelligent Transportation System (ITS) in sustainable smart cities are taking advantage of moving vehicle nodes for data communication. VANETs support many applications related to safety, infotainment, and accident detection. The… Click to show full abstract

Intelligent Transportation System (ITS) in sustainable smart cities are taking advantage of moving vehicle nodes for data communication. VANETs support many applications related to safety, infotainment, and accident detection. The routing protocols are using for data communication in the presence of high mobility nodes and dynamic topologies. Due to high mobility and unpredictable topologies, the data communication becomes unreliable which causes data loss, delay, and link disconnections among vehicle nodes. To address these routing limitations, various types of routing protocols have developed. In all existing routing protocols types, geographic routing protocols are one of the efficient types due to its low overhead processes. Geographical routing protocols are able to handle vehicular environment constraints. However, with many advantages, geographic routing protocols are not considering many constraints of the vehicular environment. Geographical routing protocols should have well-defined routing metrics to deal with high mobility and other data loss and link disconnection issues. This research designs a Beaconless Traffic-Aware Geographical Routing Protocol (BTA-GRP) by considering traffic density, distance and direction for next forwarder node and route selection. The protocol is feasible for urban dense and sparse traffic conditions and addresses delay, disconnection and packet dropping issues. The proposed protocol has simulated with state of the art routing protocols. The simulation results indicated that the proposed protocol has higher performance in VANETs.

Keywords: routing protocols; geographical routing; routing; protocol; traffic; intelligent transportation

Journal Title: IEEE Access
Year Published: 2020

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