Review of geographic forwarding strategies for inter-vehicular communications from mobility and environment perspectives

Hanshi, Sabri M.; Wan, Tat-Chee; Kadhum, Mohammed M.; Bin-Salem, Ali Abdulqader

doi:10.1016/j.vehcom.2018.09.005

Cited by 10 publications

(6 citation statements)

References 41 publications

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“…This routing algorithm provides an optimal route for forwarding the data packets toward their destination by considering the traffic segment status when choosing the next intersection [14]. The intra-street vehicle density is obtained through requirements-driven flooding measurement, and the high-density street was chosen as the route [15]. In essence, it was implicitly assumed in the density-based street selection strategy that the reliability of the route increases with the density of vehicles on the road.…”

Section: Related Workmentioning

confidence: 99%

PTCCR: A Path Transmission Costs-Based Multi-Lane Connectivity Routing Protocol for Urban Internet of Vehicles

2019

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In Internet of Vehicles (IoV), high vehicular mobility causes frequent changes in the density of vehicles, discontinuity in inter-vehicle communication, variation of network topology and constraints for routing protocols. Besides, with vehicular positions and street-level digital maps available, the intersectionbased geographic routing becomes indispensable considering its ability for avoid forwarding packets through segments with low network density and high scale of network disconnections. In this paper, considering the benefits of intersection-based routing and challenges of high dynamic IoV, a Path Transmission Costs-based Multi-lane Connectivity Routing protocol (PTCCR) is proposed with the help from intersection nodes and/or neighboring nodes. First, we investigate the multi-lane connectivity based on vehicular speed under free-flow state for various types of road sections. Second, A Path Transmission costs (PTC) measurement mechanism is proposed considering the impact of the sequence of selected sections or intersections on the routing performance. After that, the PTC of sent packets is quantitatively analyzed and used as the path selection metric. Finally, the path with the largest multi-lane connectivity and lowest PTC is selected as the optimal path taking the transmission direction, neighbor's location and destination position into account. Numerical results show that our proposed PTCCR outperforms two state-of-art routings, i.e., the real-time intersectionbased segment aware routing protocol (RTISAR) and Reliable Traffic Aware Routing protocol (RTAR), in terms of packet delivery ratio, average end-to-end delay and communication overhead.INDEX TERMS Internet of vehicles, multi-lane connectivity, path transmission costs, directional transmission.

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Section: Related Workmentioning

confidence: 99%

PTCCR: A Path Transmission Costs-Based Multi-Lane Connectivity Routing Protocol for Urban Internet of Vehicles

2019

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“…Therefore, new vehicles are integrated as part of a new system known as an intelligent transportation system (ITS) [1], in which these vehicles operate as nodes of a connected network called vehicular ad hoc network (VANET). VANET is a wireless network based essentially on vehicle-to-vehicle (V2V) Communication mode that ensures message transmission between two or more vehicles being within the same transmission range [2]. The special characteristics of vehicular environments, such as varying driver behavior, high degrees of mobility, and dynamic topology, have an impact on the inter-vehicle link lifetime [3], which is prone to be typically low.…”

Section: Introductionmentioning

confidence: 99%

AC-RDV: a novel ant colony system for roadside units deployment in vehicular ad hoc networks

Guerna

Bitam

Calafate

2020

Peer-to-Peer Netw. Appl.

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Vehicular ad hoc network (VANET) is a mobile and wireless network that consists of connected vehicles, and stationary nodes called roadside units (RSUs) placed on the aboard of roads to improve traffic safety and to ensure drivers' and passengers' comfort. However, deploying RSUs is one of the most important challenges in VANETs due to the involved placement, configuration, and maintenance costs in addition to the network connectivity. This study focuses on the issue of deploying a set of RSUs that is able to maximize network coverage with a reduced cost. In this paper, we propose a new formulation of RSUs deployment issue as a maximum intersection coverage problem through a graph-based modeling. Moreover, we propose a new bio-inspired RSU placement system called Ant colony optimization system for RSU deployment in VANET (AC-RDV). AC-RDV is based on the idea of placing RSUs within the more popular road intersections, which are close to popular places like touristic and commercial areas. Since RSU deployment problem is considered as NP-Hard, AC-RDV inspires by the foraging behavior of real ant colonies to discover the minimum number of RSU intersections that ensures the maximum network connectivity. After a set of simulations and comparisons against traditional RSU placement strategies, the results obtained showed the effectiveness of the proposed AC-RDV in terms of number of RSUs placed, the average area coverage, the average connectivity and the overlapping ratio.

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“…Currently, with the growth of network technologies, driving tasks have turned out to be more puzzling when using innovative knowledge to identify road conditions, making it more essential to generate data from vehicle transmissions. An ad hoc system is a type of wireless network system that can change data between cars and create a vehicular ad hoc network (VANET) [1][2][3][4]. Although various protocols have been recommended to organize transport networks between vehicles [4], a supplementary investigation is still needed to cultivate a competent routing protocol that can reduce or decrease the hop count in the spread of data and to dodge a wrong track under several circumstances such as at intersections.…”

Section: Introductionmentioning

confidence: 99%

“…An ad hoc system is a type of wireless network system that can change data between cars and create a vehicular ad hoc network (VANET) [1][2][3][4]. Although various protocols have been recommended to organize transport networks between vehicles [4], a supplementary investigation is still needed to cultivate a competent routing protocol that can reduce or decrease the hop count in the spread of data and to dodge a wrong track under several circumstances such as at intersections. e confidentiality of VANET routing protocols can be classified as follows: first, geographical routing protocols [5][6][7][8][9][10][11][12][13] that appoint the benefits of GPS obtain the vehicle spots where a message should be forwarded to reach the endpoint.…”

Section: Introductionmentioning

confidence: 99%

Greedy Intersection-Mode Routing Strategy Protocol for Vehicular Networks

Mahmoud

Al‐Khasawneh

2020

Complexity

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The advantages of vehicular ad hoc networks (VANETs) have been acknowledged, particularly during the last decade. Furthermore, VANET-related issues have been addressed by different researchers. Forwarding information professionally in a VANET is considered a challenging task precisely at the intersections where forwarding the information turns out to be extremely problematic. To elucidate this problem, many researchers have established routing protocols. The improved greedy perimeter stateless routing protocol (IGPSR) has been suggested, in the direction of employing greedy-mode proceeding traditional transportation's streets as well as to employ intersection-method at the joints. In view of greedy mode, the selection of the following stage is as in GPSR. By contrast, in the mode at an intersection, we would expect the vehicle guidelines to govern the following stage. The recreated consequences expose the algorithm, which is anticipated to undeniably demonstrate its competency.

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Review of geographic forwarding strategies for inter-vehicular communications from mobility and environment perspectives

Cited by 10 publications

References 41 publications

PTCCR: A Path Transmission Costs-Based Multi-Lane Connectivity Routing Protocol for Urban Internet of Vehicles

PTCCR: A Path Transmission Costs-Based Multi-Lane Connectivity Routing Protocol for Urban Internet of Vehicles

AC-RDV: a novel ant colony system for roadside units deployment in vehicular ad hoc networks

Greedy Intersection-Mode Routing Strategy Protocol for Vehicular Networks

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