Roadside Unit Transmission Control for Energy Efficiency in Vehicle-to-Infrastructure Communication Network

Roadside Unit Transmission Control for Energy Efficiency in Vehicle-to-Infrastructure Communication Network

  IJETT-book-cover           
  
© 2022 by IJETT Journal
Volume-70 Issue-5
Year of Publication : 2022
Authors : Paule Kevin Nembou Kouonchie, Vitalice Kalecha Oduol, George Nyauma Nyakoe
DOI :  10.14445/22315381/IJETT-V70I5P217

How to Cite?

Paule Kevin Nembou Kouonchie, Vitalice Kalecha Oduol, George Nyauma Nyakoe, "Roadside Unit Transmission Control for Energy Efficiency in Vehicle-to-Infrastructure Communication Network," International Journal of Engineering Trends and Technology, vol. 70, no. 5, pp. 145-158, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I5P217

Abstract
In recent years, intelligent transportation systems (ITS) have improved road safety. This has led to new communication systems such as vehicle-to-infrastructure (V2I) and vehicle-to-vehicle. This technology has attracted the attention of many researchers due to its deployment cost and energy efficiency challenges. Roadside units (RSUs) powered by renewable energy are mainly concerned with energy efficiency because of the intermittency of renewable energy resources. This paper proposes a solution for energy efficiency in the V2I network to minimize the energy consumption of RSUs deployed in an urban area. The problem has been formulated as an RSU transmission control problem based on the traffic flow at road intersections. This method is compared with the traditional RSU transmission mode, and the study is conducted in two phases. The first phase is to model a section of the road network of Nairobi using OpenStreetMap and SUMO. The second phase is to define and validate the solution`s effectiveness in terms of connectivity, energy consumption, packet delivery ratio (PDR), and average downlink end-to-end delay. The results show that the proposed solution is energy efficient for small and large packets and has good communication performance.

Keywords
Basic Safety Message, Energy Consumption, Road Safety, Roadside unit, Vehicle-to-Infrastructure.

Reference
[1] World Health Organization, New WHO report highlights insufficient progress to tackle lack of safety on the world’s roads, World Health Organization, 2018. https://www.who.int/news/item/07-12-2018-new-who-report-highlights-insufficient-progress-to-tacklelack-of-safety-on-the-world’s-roads (2021).
[2] SAFE-UP, A proactive approach to effectively integrate autonomous vehicles for future road safety, Intelligent Transport, 2021. https://www.intelligenttransport.com/transport-articles/130496/integrate-autonomous-vehicles-road-safety/ (2022).
[3] D. Petrovic, R. Mijailovi?, and D. Peši?, Traffic Accidents with Autonomous Vehicles: Type of Collisions, Manoeuvres and Errors of Conventional Vehicles’ Drivers, in Transportation Research Procedia, 45 (2019) 161–168. doi: 10.1016/j.trpro.2020.03.003.
[4] N. G.Gupta, R. D Thakre, and Y. A. Suryawanshi, Real Time Implementation of Vehicular Ad-hoc Network, Int. J. Eng. Trends Technol., 45(3) (2017) 121–126. doi: 10.14445/22315381/ijett-v45p227.
[5] Tullio Giuffrè, Antonino Canale, Alessandro Severino, and Salvatore Trubia, Automated Vehicles: a Review of Road Safety Implications as a Driver of Change, in 27th CARSP Conference, (2017) 1–16.
[6] J. F. Muhammad Alam, Joaquim Ferreira, Introduction to intelligent transportation systems, in Intelligent Transport Systems Dependable Vehicular Communications for Improved Road Safety, Studies in., Muhammad Alam, Joaquim Ferreira, and J. Fonseca, Eds. Springer, (2016) 1–18.
[7] J. Scholliers, M. Jutila, M. Valta, K. Kauvo, A. Virtanen, and P. Pyykönen, Co-operative Traffic Solutions for Hybrid Communication Environments, in Transportation Research Procedia, 14 (2016) 4542–4551. doi: 10.1016/j.trpro.2016.05.377.
[8] M. Woodard, M. Wisely, and S. S. Sarvestani, A survey of data cleansing techniques for cyber-physical critical infrastructure systems, 1st ed., vol. 102. Elsevier Inc., (2016).
[9] F. A. Teixeira, V. F. e Silva, J. L. Leoni, D. F. Macedo, and J. M. S. Nogueira, Vehicular networks using the IEEE 802.11p standard: An experimental analysis, Veh. Commun.,1(2) (2014) 91–96. doi: 10.1016/j.vehcom.2014.04.001.
[10] F. Perry, K. Raboy, E. Leslie, Z. Huang, and D. Van Duren, Dedicated Short-Range Communications Roadside Unit Specifications, vol. No. FHWA-J. (2017).
[11] Federal Communications Commission, Identification of interstate Transport Regions, (2021).
[12] R Q Malik et al., Mapping and Deep Analysis of Vehicle-to- Infrastructure Communication Systems?: Coherent Taxonomy , Datasets , Evaluation and Performance Measurements , Motivations , Open Challenges , Recommendations , and Methodological Aspects, IEEE Access, 7 (2019) 126753–126772 .doi: 10.1109/ACCESS.2019.2927611.
[13] A. Sassi, Y. Elhillali, and F. Charfi, Evaluating Experimental Measurements of the IEEE 802.11p Communication Using ARADA LocoMate OBU Device Compared to the Theoretical Simulation Results, Wirel. Pers. Commun., 97(3) (2017) 3861–3874.doi: 10.1007/s11277-017-4703-4.
[14] P. Gora and I. Rüb, Traffic Models for Self-driving Connected Cars, in Transportation Research Procedia, 14 (2016) 2207–2216. doi: 10.1016/j.trpro.2016.05.236.
[15] Z. Li and M. Shahidehpour, Deployment of cybersecurity for managing traffic efficiency and safety in smart cities, Electr. J., 30(4) (2017) 52–61.doi: 10.1016/j.tej.2017.04.003.
[16] H. Su, C. H. Cho, Y. H. Chu, and W. Y. Chang, A traffic information dissemination mechanism based on DSRC/WAVE and its applications, in 2012 12th International Conference on ITS Telecommunications, ITST 2012, (2012) 635–638, doi: 10.1109/ITST.2012.6425258.
[17] X. Liu, Y. Liu, Y. Chen, and L. Hanzo, Enhancing the Fuel-Economy of V2I-Assisted Autonomous Driving: A Reinforcement Learning Approach, IEEE Trans. Veh. Technol., 69(8) (2020) 8329–8342.doi: 10.1109/TVT.2020.2996187.
[18] A. J. Ghandour, K. Fawaz, H. Artail, M. Di Felice, and L. Bononi, Improving vehicular safety message delivery through the implementation of a cognitive vehicular network, Ad Hoc Networks, 11(8) (2013) 2408–2422. doi: 10.1016/j.adhoc.2013.06.005.
[19] S. Kumar Gupta and S. Khara, Technique to improve the file transfer outcomes between road side unit and vehicles in vehicular adhoc networks, in International Conference on Computing, Communication and Automation, ICCCA 2015, (2015) 360–366.doi: 10.1109/CCAA.2015.7148444.
[20] H. Bello-Salau, A. M. Aibinu, Z. Wang, A. J. Onumanyi, E. N. Onwuka, and J. J. Dukiya, An optimized routing algorithm for vehicle ad-hoc networks, Eng. Sci. Technol. an Int. J., 22(3) (2019) 754–766. doi: 10.1016/j.jestch.2019.01.016.
[21] M. Srotyr, T. Zelinka, and Z. Lokaj, Hybrid communication solution for C-ITS and its evaluation, in 2017 Smart Cities Symposium Prague, SCSP 2017 - IEEE Proceedings, (2017) 1–7.doi: 10.1109/SCSP.2017.7973350.
[22] C. Bernardini, M. R. Asghar, and B. Crispo, Security and privacy in vehicular communications: Challenges and opportunities, Veh. Commun., 10 (2017) 13–28.doi: 10.1016/j.vehcom.2017.10.002.
[23] S. Zhang and Y. Shi, Roadside Units Non-full Coverage Optimization Deployment Based on Simulated Annealing Particle Swarm Optimization Algorithm, in 2018 IEEE 4th International Conference on Computer and Communications (ICCC), (2018) 544–549.
[24] C. Tripp-Barba, A. Zaldívar-Colado, L. Urquiza-Aguiar, and J. A. Aguilar-Calderón, Survey on routing protocols for vehicular ad Hoc networks based on multimetrics, Electronics, 8(10) (2019) 1–32.doi: 10.3390/electronics8101177.
[25] P. Qin, Y. Fu, X. Feng, X. Zhao, S. Member, and S. Wang, Energy Efficient Resource Allocation for Parked Cars based CellularV2V Heterogeneous Networks, IEEE Internet Things J., (2021) 1–1. doi: 10.1109/JIOT.2021.3094903.
[26] L. Cesarano, A. Croce, L. D. C. Martins, D. Tarchi, and A. A. Juan, A Real-Time Energy-Saving Mechanism in Internet of Vehicles Systems, IEEE Access, 9 (2021) 157842–157858.doi: 10.1109/ACCESS.2021.3130125.
[27] L. Zhang and Y. Wang, An Offline Roadside Unit ON-OFF Scheduling Algorithm for Energy Efficiency of Ad Hoc Networks, IEEE Access, 6(11) (2018) 59742–59751. doi: 10.1109/ACCESS.2018.2872601.
[28] V. Sethi, S. Pal, and A. Vyas, Online energy-efficient scheduling algorithm for renewable energy-powered roadside units in VANETs, in Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020, (2020) 506–514. doi: 10.1109/MASS50613.2020.00068.
[29] W. S. Atoui, S. Member, W. Ajib, and S. Member, Offline and Online Scheduling Algorithms for Energy Harvesting RSUs in VANETs, IEEE Trans. Veh. Technol., 67(7) (2018) 6370–6382. doi: 10.1109/TVT.2018.2797002.
[30] U. Demir, C. Toker, and O. Ekici, Energy-Efficient Deployment of UAV in V2X Network Considering Latency and Backhaul (2020). doi: 10.1109/BlackSeaCom48709.2020.9235026.
[31] P. Sun, N. Aljeri, and A. Boukerche, An Energy-Efficient Proactive Handover Scheme for Vehicular Networks Based on Passive RSU Detection, IEEE Trans. Sustain. Comput., 5(1) (2020) 37–47. doi: 10.1109/TSUSC.2018.2878109.
[32] Japan International Cooperation Agency, Republic of Kenya the Project on Detailed Planning of Integrated Transport System and Loop Line in the Nairobi Urban Core, (2018).
[33] Nairobi City County, Explore Nairobi, Explore Nairobi. https://nairobi.go.ke/explore-nairobi. (2021).
[34] Elizabeth Resor, Nairobi Accident map, Nairobi Accident Map, 2015. https://nairobiaccidentmap.com . (2021).
[35] G. Boeing, OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks, (2017). doi: 10.1016/j.compenvurbsys.2017.05.004