TACRP: Traffic-Aware Clustering-Based Routing Protocol for Vehicular Ad-Hoc Networks

Abstract

On account of the highly dynamic topology of vehicular networks, network congestion and energy utilization are greatly increased, which directly affects the performance of VANETs. So, managing traffic and reducing energy consumption in the network becomes a challenging task in such huge mobility-based VANET networks. Thus, in this paper a new traffic and cluster-based network method is introduced, namely, Traffic-Aware Clustering based Routing Protocol (TACRP). The main aim of the approach is to improve traffic management in the network as well as to reduce energy consumption in it. In the constructed network, a Traffic Management Unit (TMU) is introduced to control the entire network traffic with the help of RSUs. Vehicles with similar speed and direction are grouped into a cluster to increase the network stability and help to reduce the energy consumption of the network. The clustering model provides principles associated with vehicles leaving the clusters, joining the clusters, cluster updates and inter-cluster communication, which makes the network more stable and reliable. For instance, in the proposed work the CH selection is based on centralization, weight, distance, and energy calculation. Such network settings facilitate successfully clustering of vehicles on the road. Simulation experimental analysis showed that the proposed TACRP routing protocol achieved better results in terms of energy efficiency, throughput, packet delivery ratio, and end to end delay of the network when compared with earlier methods, such as ECHS and NRHCS.

Internet of autonomous vehicles communication infrastructure: A short review

“…Routing protocols are widely divided, according to the nature of their routing information updating process, into three main categories: Reactive, Proactive, and Hybrid [17,18,19] as in figure 4.…”

“…This is especially intensified when the network is overwhelmed with traffic since the topological information is not shared among the nodes. Ad hoc On-Demand Distance Vector (AODV), Temporally Ordered Routing Algorithm (TORA), and Dynamic Source Routing Protocol (DSR) are well-known examples of reactive routing protocols [17,18,20,21].…”

“…Still, proactive protocols can cause an excessive bandwidth depletion due to the continuous message activity among the nodes, making them unsuitable for environments with dynamic network configurations such as airborne applications, and their applicability decreases as the network's scale and mobility increase to some extent. Currently, some of the most well-known proactive protocols include Optimized Link State Routing (OLSR), Destination Sequenced Distance Vector Routing (DSDV), and Fisheye State Routing (FSR) protocols [17,18,21].…”

Traffic Aware Routing using Multi-Objective Delay Centric Enhanced Artificial Ecosystem-Based Optimization for VANET

“…The energy usage and network congestion are extensively maximized due to the higher dynamic topology of VANET that affects the VANET performances. Consequently, energy consumption minimization and traffic maintenance are considered challenging tasks in mobility-based VANET [13,14].…”