Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Iskandarani, Mahmoud Zaki

doi:10.14569/ijacsa.2020.0111039

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…They apply real time messaging between vehicles (nodes) using radio wave transmission over specific distance (range). VANETS consist of vehicular mobile nodes, established without a centralized infrastructure, thus, each node will perform the functions of transmitter, receiver, and data router [22], [23], [24], [25], [26], [27], [28].…”

Section: Introductionmentioning

confidence: 99%

Sensing and Detection of Traffic Status through V2V Routing Hop Count and Route Energy

Iskandarani¹

2021

IJACSA

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New approach to manage congestion using vehicular communication is presented in this work. The research work using MATLAB simulation, tracked communicating vehicles travelling on roads with constant registration of changes in routes, number of hops, and energy consumed as a function of travelled distances. The area of travel and simulation is divided into blocks or zones to enable sufficient allocation and distribution of Road Side Units (RSUs) that are used to relay communication signals and transmission of Basic Safety Messages (BSMs). The successfully concluded simulation is based on the assumption that as congestion occurs, the number of hops per route and associated energy consumption per transmitted packets will change patterns in terms of hops, routes and consumed energy as traffic passes from low to smooth (optimal) to high density (congestion) states, where at the start of congestion, vehicles start to slow down and become closer to each other in a two dimensional space. The output is used as input to traffic status pattern characterization algorithm (management system) that uses the data to indicate the start of traffic accumulation, thus pre-emptive measures can be taken to avoid congestion and reduction in mobility. The presented analysis proved that it is possible to predict congestion as a function of both hops sequences and consumed energy, depending on the hops pattern which is shown to be symmetric in the case of optimum traffic that flows smoothly. The analysis also showed that when congestion starts to occur, asymmetric hops pattern occurs with hops sequences elements switch and swap places within the identified pattern. Further analysis and polynomial curve fitting proved that congestion control and smooth traffic management using the proposed approach is achievable.

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Section: Introductionmentioning

confidence: 99%

Sensing and Detection of Traffic Status through V2V Routing Hop Count and Route Energy

Iskandarani¹

2021

IJACSA

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“…There is a correlative relationship between routing and path prediction, whereby monitoring path length and related variables, such as consumed energy, number of hops, network lifetime, are indicators of traffic status. Mobility models are required to map the change in pattern for mobile nodes to enable optimization of communication and management [32]- [34] Vehicular ad hoc networks (VANETs) are a wireless network that does not have the fixed infrastructure and are critical for cooperative vehicle driving, providing essential communication and data exchange mechanism between vehicles and vehicles (V2V), and Vehicles and infrastructure (V2I).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Vehicle-to-Vehicle Basic Safety Message Communication Using Connectivity Characteristic Matrix

Iskandarani¹

2021

International Journal on Advanced Science, Engineering and Information Technology

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This work investigates vehicular mobility and the main factors that impact Vehicle-to-Vehicle (V2V) connectivity using Basic Safety Message (BSM). MATLAB simulation used for Vehicular mobility and connectivity characterization under specific road traffic conditions. The simulation covers connectivity between traveling vehicles and a selected target vehicle to monitor communication interaction and establish an envelope within which reliable communication and BSM messages can occur. Another objective of this work is to use BSM exchanges to indicate the level of connectivity used to estimate traffic density, thus enabling congestion prediction. The obtained data contain information describing many vehicles, distance, connectivity time, and traffic density. The simulation results indicate an increase in the number of connected vehicles (connectivity level) as a function of both traffic density and communication range. Extending communication over fixed duration showed increased connectivity levels, allowing more vehicles to interact and exchange BSMs. The rate of change of connectivity per communication range is an indication of the state of traffic. Continuous connectivity proved to be less than general connectivity as vehicles exits through ramps and move from one cluster of vehicles to another. Varying duration per fixed communication range produced evidence of spatial domain change, and cluster variation as threshold values separate vehicles clusters in time and space. This work presented a model to help analyze the impact of vehicular mobility as a function of BSM communication range variation and connectivity duration variation correlated to traffic density.

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Vehicular Communication using Balanced Centralized and Decentralized Cluster Heads

Iskandarani

2022

International Journal of Circuits, Systems and Signal Processing

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A new approach to vehicular communication employing equal weights for distance and vehicular speed for centralized and decentralized communication is presented. The main objective of this work, which is to establish utilization expression and characteristics for an optimized balanced vehicular communication is achieved. The technique is based on analyzing effect of communication process (centralized, decentralized) on transmission efficiency and probability of failure. The analysis using utilization function, cluster head selection time, and end to end transmission time. The simulation and analysis concluded that the decentralization approach is more efficient compared to the centralized approach, so combination of both is proved to be effective. The work also uncovered the need for optimization of vehicular speed relative to transmission radius and use of zoning to effectively improve transmission efficiency. Mathematical models are presented that covers a critical relationship between probability of transmission failure, cluster head selection time and end to end delay. Also, an important mathematical expression that considers cluster head selection time and end to end delay and their effect on connection utilization is presented. The work proves that combined centralized and decentralized techniques using balanced weights approach is effective using dynamic weights selection algorithm that determines optimum weights for both used variables (distance, Vehicular speed).

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Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Cited by 3 publications

References 21 publications

Sensing and Detection of Traffic Status through V2V Routing Hop Count and Route Energy

Sensing and Detection of Traffic Status through V2V Routing Hop Count and Route Energy

Analysis of Vehicle-to-Vehicle Basic Safety Message Communication Using Connectivity Characteristic Matrix

Vehicular Communication using Balanced Centralized and Decentralized Cluster Heads

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