Partial backwards routing protocol for VANETs

Nebbou, Tawfiq; Lehsaini, Mohamed; Fouchal, Hacène

doi:10.1016/j.vehcom.2019.100162

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…• The initial parameter ðθ 0 Þ is chosen according to Equation (11). It is deduced from Equation (10).…”

Section: Sa-based Approachesmentioning

confidence: 99%

“…One of the key functions of ITS is to predict future traffic states 8 and to handle several vehicle-to-everything (V2X) applications that increase road safety. 8,9 In VANETs, 10,11 vehicles are highly mobile and are able to store and process information, including emergency messages, traffic alerts, and location information. Two modes of communications are provided in VANETs: 12 Vehicle-tovehicle (V2V) where vehicles communicate with each other without passing through the RSUs and vehicle-toinfrastructure (V2I) where vehicles equipped with onboard units (OBU) communicate directly with the roadside units (RSUs).…”

Section: Introductionmentioning

confidence: 99%

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Efficient deployment of roadside units in vehicular networks using optimization methods

Lehsaini

Gaouar

Nebbou

2022

Int J Communication

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Summary Nowadays, vehicles have become more and more intelligent and equipped with highly sophisticated systems. This allows them to communicate with each other and with the roadside units (RSUs). Furthermore, to ensure efficient data dissemination in vehicular ad hoc networks (VANETs), it is recommended that a Vehicle‐to‐Infrastructure (V2I) architecture be chosen where RSUs will be installed at intersections. Nevertheless, it is not advisable to place an RSU at each intersection because of their high cost. It is therefore appropriate to reduce the number of RSUs by choosing locations at intersections that maximize the surface covered of the urban area and minimize the area of overlapping zones. Moreover, deploying an optimal number of RSUs in an urban area meeting the above requirements is an NP‐hard problem since the number of combinations is very high when the number of intersections is very large. For this purpose, we used metaheuristic approaches. The first approach is represented by the standard version of genetic algorithms (GA‐Basic) and its improved version (GA‐Improved) while the second approach is based on the standard version of simulated annealing (SA‐Basic) and its improved version (SA‐Improved). The proposed approaches are evaluated over OMNET++ simulator. The results obtained showed that the GA‐Improved approach deploys a reduced number of RSUs (37.5%) while guaranteeing acceptable routing performance compared to the GA‐Basic, SA‐Basic, and SA‐Improved approaches which deploy 46.25%, 65%, and 52.50%, respectively, for the same routing performance.

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“…• The initial parameter ðθ 0 Þ is chosen according to Equation (11). It is deduced from Equation (10).…”

Section: Sa-based Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient deployment of roadside units in vehicular networks using optimization methods

Lehsaini

Gaouar

Nebbou

2022

Int J Communication

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“…As network size increases and the enormous number of sensor nodes become a part of WSN, the network scalability with efficient data routing gain a lot of popularity between the research communities. The routing protocols can be categorized for data dissemination either in static or dynamic methods [11][12][13]. In the static method, the routing tables of gateway nodes and routers are manually formed and maintained.…”

Section: Iintroductionmentioning

confidence: 99%

Secure and Energy-Aware Heuristic Routing Protocol for Wireless Sensor Network

et al. 2020

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Wireless Sensor Networks (WSNs) achieve much attention from various domains because of its easy maintenance, self-configuration, and scalability characteristics. It is comprised of small-sized sensors that interact with the Internet of Things (IoT) for observing and recording the physical conditions. The sensor nodes are autonomous and construct inter-communication topology with each other in an ad-hoc manner. However, the main restrictions of sensor nodes are their finite resources for energy management, data storage, transmission, and processing power. Different solutions have been addressed by researchers to overcome network performance due to bounded limitations of such battery-powered nodes, however, equalize the energy consumption and maintain the network throughput are the main research problems. Furthermore, due to the compromised nodes, the data is more prone to security vulnerabilities. Therefore, their security over the unpredictable network is other research concerns. Thus, the aim of this research article to propose a secure and energy-aware heuristic-based routing (SEHR) protocol for WSN to detect and prevent compromising data with efficient performance. Firstly, the proposed protocol makes use of an artificial intelligence-based heuristic analysis to accomplish a reliable, and intellectual learning scheme. Secondly, it protects the transmissions against adversary groups to attain security with the least complexity. Moreover, the route maintenance strategy is also achieved by using traffic exploration to reduce link failures and network dis-connectivity. The simulation results demonstrated the SEHR protocol improves the efficacy for network throughput by an average of 18%, packet drop ratio by 42%, end-to-end delay by 26%, energy consumption by 36%, faulty routes by 38%, network overhead by 44%, and computational overhead by 43% in dynamic scenarios as compared to existing work.

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“…The geographical location of nodes (i.e., node co-ordinates) has been suggested as a means to address this issue. Location-based (geographic) routing protocols base their routing decisions on location information using the location of the destination node to forward packets to this node [3][4][5]. Establishing the destination's location is the first step towards communicating with the destination.…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of Flooding-Based Location Service in Vehicular Ad Hoc Networks

Mühlethaler

Renault

Boumerdassi

2020

Sensors

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Location-based routing protocols for vehicular ad hoc networks (VANETs) use location information to determine routing decisions. This information is provided by a location service that is queried by nodes in order to properly forward packets to communication partners. This paper presents the semiflooding location service, a proactive flooding-based location service that drastically reduces the number of update packets sent over the network compared to traditional flooding-based location services. This goal is achieved by each node partially forwarding location information. We present both deterministic and probabilistic approaches for this algorithm, which remains very simple. A mathematical model is proposed to show the effectiveness of this solution. The cases of homogeneous 1D, 2D, and 3D networks were studied for both deterministic and probabilistic forwarding decisions. We compare our algorithm with simple flooding and with the multipoint-relay (MPR) flooding of the optimized-link-state-routing (OLSR) protocol, and we show that our algorithm, despite being very simple, has excellent scalability properties. The mean number of generated messages ranges with the mean number of the neighbors of one random network node.

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Partial backwards routing protocol for VANETs

Cited by 9 publications

References 26 publications

Efficient deployment of roadside units in vehicular networks using optimization methods

Efficient deployment of roadside units in vehicular networks using optimization methods

Secure and Energy-Aware Heuristic Routing Protocol for Wireless Sensor Network

Design and Evaluation of Flooding-Based Location Service in Vehicular Ad Hoc Networks

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