Intelligent Multi-homing Switching for Vehicles Connectivity

Elsaadany, Amr

doi:10.21608/mjeer.2021.146281

Intelligent Multi-homing Switching for Vehicles Connectivity

Document Type : Original Article

Author

Amr Elsaadany

Faculty of Engineering Pharos University in Alexandria

10.21608/mjeer.2021.146281

Abstract

The spread of the internet applications has affected the vehicle connectivity requirements where connected vehicles can communicate with other systems to exchange data outside the vehicles. The continuous connectivity of smart vehicles is becoming very important for supporting various user applications. The challenges arise from the moving nature of vehicles on the road and the ability of providing a stable network connection due to areas where the network coverage is not available. The use of predictive multi-homed switching can eliminate the effect of network coverage holes. A switching decision can be supported by the intelligence of a connectivity gateway that analyzes network connectivity metrics collected from the vehicles such as round time delay and packet loss rate. In this paper we study the use of predictive multi-homed switching and the associated connectivity gateway in order to evaluate the improvement on the service connectivity of the vehicles. The gateway provides information ahead of time to prepare the vehicle to utilize alternative connectivity methods on different areas along the path of the vehicle. The system’s reaction to the elimination of network coverage holes is assessed where we show the improvement in the continued connectivity key performance indicators.

Keywords

References

[1] IEEE 802 Standard, ―Local and Metropolitan Area Networks: IEEE Standard: Overview and Architecture," in IEEE Std 802-2014, ISBN: 978-0-7381-9219-2, pp.1-74, June 2014
[2] N. TuanLe, M. Hossain, A. Islam, D. Kim, Y. Choi, and Y. Jang, ―Survey of Promising Technologies for 5G Networks‖, Mobile Information Systems Journal, Vol. 2016, No. 2676589, pp. 1-25, Dec 2016
[3] K.DeyKakan et al., ―Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network – Performance evaluation‖, Transportation Research Part C, pp 168-184, Elsevier, July 2016
[4] S. Bhaskaran, J. Yu, ―Predictive Flow Switching and Application Continuity in Connected Vehicle Networks‖, US Patent Pub. No. US 2018/0302770A1, Oct. 2018
[5] S. Mukherjee, ―Network-Assisted Multihoming for Emerging Heterogeneous Wireless Access Scenarios‖, A thesis submitted to
the Graduate School, The State University of New Jersey, New Brunswick, Rutgers, 2014
[6] P. Pawar, B. Beijnum, A. Peddemors, A. Halteren, ―Context-Aware Middleware Support for the Nomadic Mobile Services on Multi-homed Handheld Mobile Devices‖, IEEE Symposium on Computers and Communications, ISCC 2007
[7] M. Sangari, K. Baskaran, ―Secured Efficient Fast Handover Multihoming Based NEMO+ (SEFMNEMO+) for Vanets‖, Circuits and Systems,pp. 239-254, Apr 2016
[8] K. Ahmed, M. Lee, ―Secure LTE-Based V2X Service‖, IEEE Internet of Things Journal, Vol. 5, No. 5, pp. 3724-3732, Oct 2018
[9] J. Contreras-Castillo, S. Zeadally, J. Guerrero-Ibañez, ―Internet of Vehicles: Architecture, Protocols, and Security‖, IEEE Internet of Things Journal, Vol. 5, No. 5, pp. 3701–3709, Oct 2018
[10] P. Singh, R. Bali, N. Kumar, A. Das, A. Vinel, L. Yang, ―Secure Healthcare Data Dissemination Using Vehicle Relay Networks‖, IEEE Internet of Things Journal, Vol. 5, No. 5, Oct 2018
[11] A. Taha, ―An IoT Architecture for Assessing Road Safety in Smart Cities‖, Wireless Communications and Mobile Computing Journal, Vol. 2018, No. 8214989, pp. 1-11, Nov 2018
[12] T. Balan, D. Robu, F. Sandu, ―Multihoming for Mobile Internet of Multimedia Things‖, Mobile Information SystemsJournal, Vol. 2017, No. 6965028, pp. 1-16, Sep 2017
[13] B. Finley, A. Basaure, ―Benefits of Mobile End User Network Switching and Multihoming‖, Computer Communications, Vol. 117, pp. 24-35, Dec 2018
[14] L. Bokor, Z. Mihály, ―GPS aided predictive handover management for multihomed NEMO configurations‖, 9th International on Intelligent Transport Systems Telecommunications, pp. 69-73, Nov 2009
[15] S. Cha, K. Lee, H. Cho, ―Grid-Based Predictive Geographical Routing for Inter-Vehicle Communication in Urban Areas‖, International Journal of Distributed Sensor Networks, Vol. 2012, No. 819497, pp.1 -7, Jan 2012
[16] P. Deshpande, A. Kashyap, C. Sung, S. Das, ―Predictive Methods for Improved Vehicular WiFi Access‖, International Conference on Mobile Systems, Applications, and Services (MobiSys), June 2009
[17] C. Lin, D. Deng, C. Yao, ―Resource Allocation in Vehicular Cloud Computing Systems with Heterogeneous Vehicles and Roadside Units‖, IEEE Internet of Things Journal, Vol. 5, No. 5, pp. 3692 – 3700, Oct 2018
[18] A. Bujari, O. Gaggi, C. Palazzi, D. Ronzani, ―Would Current Ad-Hoc Routing Protocols Be Adequate for the Internet of Vehicles? A Comparative Study‖, IEEE Internet of Things Journal, Vol. 5, No. 5, pp. 3683 – 3691, Oct 2018
[19] G. Levy, Y. Aizenbud, ―Associating External Devices to Vehicles and Usage of Said Association‖, US Patent No. US2018/0310146A1, Oct 2018
[20] L. Ekkizogloy, S. Kolluru, M. Brouwer, Y. Liu, ―Automatic Detection of Vehicular Malfunctions Using Audio Signals‖, US Patent No. US2018/0350167A1, Dec 2018
[21] V. Petrov, A. Samuylov, V. Begishev, D. Moltchanov, S. Andreev, ―Vehicle-Based Relay Assistance for Opportunistic Crowdsensing over Narrowband IoT‖, IEEE Internet of Things Journal, Vol. 5, No. 5, pp. 3710 – 3723, Oct 2018
[22] T. Cohen, ―Determining Transportation Status Using Network Connections‖, US Patent No. US10,127,526B2, Nov. 2018
[23] L. Robinson, S. Manikandan, ―Drivers Drowsiness Measurement and the Indication of Eye Movements through Algorithmatic Approach to Avoid Accidents‖, International Journal of Innovative Technology and Exploring Engineering, Vol. 8, No. 5, March 2019
[24] A. Festag, ―Standards for vehicular communication—from IEEE 802.11p to 5G‖, Elektrotechnik and Informations Technik, Vol. 132, No. 7, pp. 409–416, Springer, Jul 2015
[25] A. Papathanassiou, A. Khoryaev, ―Cellular V2X as the Essential Enabler of Superior Global Connected Transportation Services‖, Next Generation and Standards, Intel Client and Internet of Things Businesses and Systems Architecture Group (CISA), Intel Corporation, IEEE 5G Tech Focus: Vol. 1, No. 2, June 2017
[26] GSMA, Cellular Vehicle-to-everything (C-V2X), Groupe Speciale Mobile Association, London, United Kingdom, https://www.gsma.com/iot, 2018[27] 5G Americas White Paper, ―Cellular V2X Communications Towards 5G‖, http://www.5gamericas.org/ files/9615/2096/4441/ 2018_5G_Americas_White_Paper_Cellular_V2X_Communications_Towards_5G__Final_for_Distribution.pdf, 2018
[28] X. Wang, S. Mao, M. Gong, ―An Overview of 3GPP Cellular Vehicle-to-Everything Standards‖, GetMobile, Vol. 21, No. 3, pp. 19-25, Sep 2017
[29] S. Chen, J. Hu, Y. Shi, L. Zhao, ―LTE-V: A TD-LTE-Based V2X Solution for Future Vehicular Network‖, IEEE Internet of Things Journal, Vol. 3, No. 6, pp. 997-1005, Dec 2016
[30] X. Yoon, M. Liu, B. Noble, ―Random waypoint considered harmful‖, IEEE INFOCOM. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies, IEEE Xplore, pp. 1312-1321, July 2003
[31] B. Gopal, P Kuppusamy, ―A Comparative Study on 4G and 5G Technology for Wireless Applications‖, Journal of Electronics and Communication Engineering, International Organization of Scientific Research, Vol. 10, No. 6, pp. 67-72, Nov 2015
[32] R. Salazar-Cabrera, A. Cruz, and J. Molina, ―Proof of Concept of an IoT-Based Public Vehicle Tracking System Using LoRa and Intelligent Transportation System Services‖, Journal of Computer Networks and Communications, Vol. 2019, No. 9198157, pp. 1-10, Dec 2019