Impact of Network Density on AODV protocol in VANET

Kumar, Santosh; Kumar, Achint; Tyagi, Vishu; Das, Sanjoy

doi:10.1109/iccca49541.2020.9250898

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…The monthly cost of providing electricity to an RSU is heavily influenced by its typical monthly energy use [5]. This is due to the fact that the RSU's energy usage is very sensitive to its distance from the vehicle [6]. Sending a downlink (RSUto-vehicle) message to a vehicle in close proximity requires less RSU power than sending the same message to a vehicle on the edge of the RSU's range.…”

Section: Introductionmentioning

confidence: 99%

Algorithms for Energy-Efficient and Collaborative Vehicle Scheduling in Highway-Based Vehicular Networks (2020)

2023

jcr

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Road safety, real-time traffic management, location-aware advertising, environment monitoring, connection in distant regions, etc. are just some of the many uses made possible by cooperative vehicular networks. In order to efficiently disseminate data to cars beyond the coverage of a Road Side Unit (RSU) positioned along the road side, vehicles interact with one another and the RSUs. In order to provide for cars that have lost connection with the RSU, it uses passing vehicles as store-carry forwarders (relays). However, the RSUs used along highways are power constrained, therefore they work to minimise their use in downlink communications to relay trucks. As a result, in a highway automobile network, enhancing data transmission is crucial while decreasing RSU energy usage, data delivery latency, and reaction time. Buffering delays at the RSU are caused by the constant delivery of task data to buffering with limited capacity, despite the fact that energy harvesting devices extend RSU lifespan. For this reason, under time pressure from tasks, a dynamic system for allocating power is required. To further complicate matters, reducing the typical response time of activities requires immediate planning of fog vehicles for energy-efficient dumping of jobs inside RSU coverage.

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Section: Introductionmentioning

confidence: 99%

Algorithms for Energy-Efficient and Collaborative Vehicle Scheduling in Highway-Based Vehicular Networks (2020)

2023

jcr

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Performance Evaluation of 5G Millimeter-Wave-Based Vehicular Communication for Connected Vehicles

Khan

Chowdhury

et al. 2022

IEEE Access

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Due to the gradual increase in the volume of data generated by connected vehicles (CVs), future vehicle-to-infrastructure (V2I) applications will require a communication medium that offers highspeed (high bandwidth) communication while maintaining reliability in high-mobility traffic scenarios. The 5G millimeter-wave (mmWave) can solve the communication issues related to V2I applications. However, the performance of the 5G mmWave for vehicular communication in high-mobility urban traffic scenarios is yet to be evaluated. This study presents a case study on assessing the performance of the 5G mmWave-based vehicular communication in such traffic scenarios. We have designed three realistic use cases for performance evaluation based on three challenges: increased CV penetration level, dynamic mobility, and V2I application specifications, such as data rate and packet size. We have also created a simulation-based experimental setup using a microscopic traffic simulator (SUMO) and a communication network simulator (ns-3) to simulate the use cases. We have used delay, packet loss, throughput, and signal-to-interference-plus-noise ratio (SINR) as the communication performance evaluation metrics. Our analyses found that the CV penetration level is the primary determinant of the performance of the 5G mmWave. Moreover, once the data rate is increased by a factor of 40, delay and packet loss increase by factors of 6.8 and 2.8, respectively.

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Dynamic Priority Scheduling Mechanism Based on Spatio-Temporal Correlation for VANETs

Zhang

Yang

et al. 2021

2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)

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Impact of Network Density on AODV protocol in VANET

Cited by 5 publications

References 9 publications

Algorithms for Energy-Efficient and Collaborative Vehicle Scheduling in Highway-Based Vehicular Networks (2020)

Algorithms for Energy-Efficient and Collaborative Vehicle Scheduling in Highway-Based Vehicular Networks (2020)

Performance Evaluation of 5G Millimeter-Wave-Based Vehicular Communication for Connected Vehicles

Dynamic Priority Scheduling Mechanism Based on Spatio-Temporal Correlation for VANETs

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