References
Abdelghafar, S., Khater, A., Wagdy, A., Darwish, A., & Hassanien, A. E. (2022). Aero engines remaining useful life prediction based on enhanced adaptive guided differential evolution. Evolutionary Intelligence, 1-12. https://doi.org/10.1007/s12065-022-00805-z
Search via ReFindit
Ali, J., & Zafar, M. H. (2023). Improved End-to-end service assurance and mathematical modeling of message queuing telemetry transport protocol based massively deployed fully functional devices in smart cities. Alexandria Engineering Journal, 72, 657-672. https://doi.org/10.1016/j.aej.2023.04.014
Search via ReFindit
Alstyne, M. W., Parker, G. G., & Choudary, S.P. (2016) Pipelines, platforms, and new strategy rules. Harward Business Review, 94(4), 54-62.
Search via ReFindit
Anjum, M., Shahab, S., & Umar, M. S. (2022). Smart waste management paradigm in perspective of IoT and forecasting models. International Journal of Environment and Waste Management, 29(1), 34-79. https://doi.org/10.1504/IJEWM.2022.120621
Search via ReFindit
Atkins, R., & Gianiodis, P. (2022). An investigation at the intersection of the sharing economy and supply chain management: a strategic perspective. International Journal of Logistics Research and Applications, 25(11), 1425-1443. https://doi.org/10.1080/13675567.2021.1911970
Search via ReFindit
Attaran, M. (2023). The impact of 5G on the evolution of intelligent automation and industry digitization. Journal of Ambient Intelligence and Humanized Computing, 14(5), 5977-5993. https://doi.org/10.1007/s12652-020-02521-x
Search via ReFindit
Barbosa-Povoa, A.P., daSilva, C., Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: an operations research perspective. European Journal of Operational Research, 268(2), 399-431. https://doi.org/10.1016/j.ejor.2017.10.036
Search via ReFindit
Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, M. A., & Taheri, J. (2019Intopt: In-band network telemetry optimization for nfv service chain monitoring. In ICC 2019-2019 IEEE International Conference on Communications (ICC) (pp. 1-7). IEEE. https://doi.org/10.1109/ICC.2019.8761722
Search via ReFindit
Booysen, M.J., Gilmore J., Zeadally S., & Van Rooyen, G.J. (2012). Machine-to-machine (M2M) communications in vehicle networks, KSII transactions in Internet and information systems 6-2, 529-546. https://doi.org/10.3837/tiis.2012.02.005
Search via ReFindit
Castro, A. G., Lorenzon, A. F., Rossi, F. D., da Costa Filho, R. I., Ramos, F. M., Rothenberg, C. E., & Luizelli, M. C. (2021). Near-optimal probing planning for in-band network telemetry. IEEE Communications Letters, 25(5), 1630-1634. https://doi.org/10.1109/LCOMM.2021.3053485
Search via ReFindit
Choi, T. M., Guo, S., Liu, N., Shi, X. (2019). Values of Food Leftover Sharing Platforms in the Sharing Economy. International Journal of Production Economics, 213, 23-31. https://doi.org/10.1016/j.ijpe.2019.03.005
Search via ReFindit
Dallanora, L. M., Castro, A. G., da Costa Filho, R. I., Rossi, F. D., Lorenzon, A. F., & Luizelli, M. C. (2022, June). Dypro: Dynamic probing planning for in-band network telemetry. In 2022 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE. https://doi.org/10.1109/ISCC55528.2022.9912881
Search via ReFindit
Dano, F., Khouri, S., Drabik, P., Vernerova, V., & Kukura, M. (2021). Electromobility as a Part of Communally Beneficial Innovations in Transport and its Perception by Slovak Consumers. Transformations in Business & Economics, Vol. 20, No 3 (54), pp.132-150.
Search via ReFindit
Darbali-Zamora, R., Johnson, J., Summers, A., Jones, C. B., Hansen, C., & Showalter, C. (2021). State estimation-based distributed energy resource optimization for distribution voltage regulation in telemetry-sparse environments using a real-time digital twin. Energies, 14(3), 774. https://doi.org/10.3390/en14030774
Search via ReFindit
De Rango, F., Potrino, G., Tropea, M., & Fazio, P. (2020). Energy-aware dynamic Internet of Things security system based on Elliptic Curve Cryptography and Message Queue Telemetry Transport protocol for mitigating Replay attacks. Pervasive and Mobile Computing, 61, 10-105. https://doi.org/10.1016/j.pmcj.2019.101105
Search via ReFindit
Demir, S.P. (2020). Logistics 4.0: SCM in Industry 4.0 Era:(Changing Patterns of Logistics in Industry 4.0 and role of digital transformation in SCM). In Logistics 4.0, pp. 15-26. https://doi.org/10.1201/9780429327636-3
Search via ReFindit
Dolgui, A.I. (2018). Ripple efect in the supply chain: an analysis and recent literature. International Journal of Production Research, 56(1-2), 414-430. https://doi.org/10.1080/00207543.2017.1387680
Search via ReFindit
Du, S., Wang, L., Hu, L., Zhu, Y. (2019). Platform-led Green Advertising: Promote the Best or Promote by Performance. Transportation Research Part E: Logistics and Transportation Review, 128, 115-131. https://doi.org/10.1016/j.tre.2019.05.019
Search via ReFindit
Englebrecht, J., Booysen, M.J., Van Rooyen, G.J., & Bruwer, F.J. (2014). Study of Smarphone-based sensors in vehicles for ITS applications, Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa, December
Search via ReFindit
Eriksson J., Girod L., Hull B., Newton R., Madden S., &; Balakrishnan H. Pit Patrol: The Use of a Mobile Sensor Network for Road Surface Monitoring, in: Material of the 6th International Conference on Mobile Systems, Applications, 21 and Services, ACM, 2008, pp. 29-39.
Search via ReFindit
Evans, D.S., & Schmalensee, R. (2016). Matchmakers: A new multi-platform economy. Harward's business reviews press.
Search via ReFindit
Evans, J. M., Black, J., & Doyle, D. (2020). Spacecraft Discrete-Event Network Simulator. In ASCEND 2020 (p. 4220). https://doi.org/10.2514/6.2020-4220
Search via ReFindit
Fam, M. L., Tay, Z. Y., & Konovessis, D. (2021, September). An artificial neural network based decision support system for cargo vessel operations. In Proceedings of the 31st European Safety and Reliability Conference, Angers, France (pp. 19-23). https://doi.org/10.3850/978-981-18-2016-8_758-cd
Search via ReFindit
Froiz-Míguez, I., Fernández-Caramés, T. M., Fraga-Lamas, P., & Castedo, L. (2018). Design, implementation and practical evaluation of an IoT home automation system for fog computing applications based on MQTT and ZigBee-WiFi sensor nodes. Sensors, 18(8), 2660. https://doi.org/10.3390/s18082660
Search via ReFindit
Guenkova, M., &; Luy I. (2015). United States Telematics System Patent, US9,201,844 B2, December 1.
Search via ReFindit
Hassanien, A. E., Darwish, A., & Abdelghafar, S. (2020). Machine learning in telemetry data mining of space mission: basics, challenging and future directions. Artificial Intelligence Review, 53, 3201-3230. https://doi.org/10.1007/s10462-019-09760-1
Search via ReFindit
Hodapp, D., Hawlitschek, F., Wortmann, F., Lang, M., & Gassmann, O. (2022). Key Lessons from Bosch for Incumbent Firms Entering the Platform Economy. MIS Quarterly Executive, 21(2). https://doi.org/10.17705/2msqe.00061
Search via ReFindit
Hu, P., Schmitt, R. R., Schwarzer, J., & Moore, W. H. (2021). Transportation statistics annual report 2021.
Search via ReFindit
Hunkeler, U., Truong, H. L., & Stanford-Clark, A. (2008, January). MQTT-S-A publish/subscribe protocol for Wireless Sensor Networks. In 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE'08) (pp. 791-798). IEEE. https://doi.org/10.1109/COMSWA.2008.4554519
Search via ReFindit
Jadon, S., Milczek, J. K., & Patankar, A. (2021). Challenges and approaches to time-series forecasting in data center telemetry: A Survey. arXiv preprint arXiv:2101.04224. https://doi.org/10.1109/SmartNets50376.2021.9555422
Search via ReFindit
Ji, M., Su, C., Yan, Y., Qian, Z., Zhang, S., Chen, Y., ... & Ye, B. (2023). Adaptive Provisioning In-band Network Telemetry at Computing Power Network. In 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS) (pp. 1-2). IEEE. https://doi.org/10.1109/IWQoS57198.2023.10188738
Search via ReFindit
Johnson, D. A., & Trivedi, M. M. (2021). Driving style recognition using a smartphone as a sensor platform, in: 14th International Conference on Intelligent Transportation Systems (ITSC), IEEE, pp. 1609-1615. https://doi.org/10.1109/ITSC.2011.6083078
Search via ReFindit
Kherbache, M., Maimour, M., & Rondeau, E. (2023). IoT network digital twins modeling using Petri nets. In 1er Congrès annuel de la Société d'Automatique de Génie Industriel et de Productique, SAGIP 2023.
Search via ReFindit
Kristiansen, E. (2019). Strategies for search and detection of acoustic transmitters using unmanned surface vehicle (Master's thesis, NTNU).
Search via ReFindit
Laine, E., Alhava, O., Peltokorpi, A., & Seppänen, O. (2017). Platform ecosystems: unlocking the subcontractors’ business model opportunities. In Proceedings for the 25th Annual Conference of the International Group for Lean Construction. Heraklion, Greece (pp. 177-184). https://doi.org/10.24928/2017/0325
Search via ReFindit
Light, A., & Miskelly, C. (2015). Sharing Economy vs Sharing Cultures? Designing for social, economic and environmental good. IxD&A, 24, 49-62. https://doi.org/10.55612/s-5002-024-003
Search via ReFindit
Light, R. A. (2017). Mosquitto: server and client implementation of the MQTT protocol. Journal of Open Source Software, 2(13), 265. https://doi.org/10.21105/joss.00265
Search via ReFindit
Lin, X., & Li, H. (2019). Adaptive control strategy extracted from dynamic programming and combined with driving pattern recognition for SPHEB. International Journal of Automotive Technology, 20, 1009-1022. https://doi.org/10.1007/s12239-019-0095-7
Search via ReFindit
Liu, L., Anwar, A., Irmak, E., & Pelit, I. (2022). Asymmetric linkages between public-private partnership, environmental innovation, and transport emissions. Economic Research-Ekonomska Istraživanja, 35(1), 6519-6540. https://doi.org/10.1080/1331677X.2022.2049979
Search via ReFindit
Lorenc, A., & Burinskiene, A. (2021). Improve the orders picking in e-commerce by using WMS data and BigData analysis. FME Transactions. 49(1), p. 233-243. https://doi.org/10.5937/fme2101233L
Search via ReFindit
Mishra, B., & Kertesz, A. (2020). The use of MQTT in M2M and IoT systems: A survey. IEEE Access, 8, 201071-201086. https://doi.org/10.1109/ACCESS.2020.3035849
Search via ReFindit
Moazed, A., & Johnson, N.L. (2016). Modern monopolies: what is needed to dominate the 21stCentury exonomy. Martyn's Press.
Search via ReFindit
Musaigwa, M., & Mutula, S. (2022). Impact of digital transformation on strategy in the insurance sector. International Journal of Research in Business and Social Science, 11(4), 69-76. https://doi.org/10.20525/ijrbs.v11i4.1781
Search via ReFindit
Naik, N. (2017). Choice of effective messaging protocols for IoT systems: MQTT, CoAP, AMQP and HTTP. In 2017 IEEE international systems engineering symposium (ISSE) (pp. 1-7). IEEE. https://doi.org/10.1109/SysEng.2017.8088251
Search via ReFindit
Nowicka, K. (2021). 3 Platforms in supply chain management. Disruptive Platforms: Markets, Ecosystems, and Monopolists, 39. eBook ISBN9781003207481.
Search via ReFindit
Othman, W., Kashevnik, A., Ali, A., & Shilov, N. (2022). DriverMVT: In-cabin dataset for driver monitoring including video and vehicle telemetry information. Data, 7(5), 62. https://doi.org/10.3390/data7050062
Search via ReFindit
Parker, G., Van Alstyne, M.W., & Choudary S.P. (2016). The platform revolution: how network markets are changing the economy and how to make them work for you. WW Norton &; Company.
Search via ReFindit
Pearson, B., Zhang, Y., Zou, C., & Fu, X. (2022). FUME: Fuzzing Message Queuing Telemetry Transport Brokers. In IEEE INFOCOM 2022-IEEE Conference on Computer Communications (pp. 1699-1708). IEEE. https://doi.org/10.1109/INFOCOM48880.2022.9796755
Search via ReFindit
Pekuri A., Pekuri L. & Haapasalo, H. (2013). The role of business models in Finnish construction companies. Economics and Construction of Construction, 13(3), 13-23. https://doi.org/10.5130/AJCEB.v13i3.3402
Search via ReFindit
Peng, D., Zhao, Z., Wu, G., & Boriboonsomsin, K. (2023). Bi-Level Fleet Dispatching Strategy for Battery-Electric Trucks: A Real-World Case Study. Sustainability, 15(2), 925. https://doi.org/10.3390/su15020925
Search via ReFindit
Pereira, I., Dominicini, C. K., Guimarães, R. S., Villaça, R. S., Almeida, L. R., & Vassoler, G. (2023, March). MPolKA-INT: Stateless Multipath Source Routing for In-Band Network Telemetry. In International Conference on Advanced Information Networking and Applications (pp. 513-524). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-28451-9_45
Search via ReFindit
Porter, B., Linse, M., & Barasz Z. (2015). Six transport trends that will change our movement. Forbes
Search via ReFindit
Qu, F., Jiang, Q., Jin, G., Wei, Y., & Wang, Z. (2021). Noise cancellation for continuous wave mud pulse telemetry based on empirical mode decomposition and particle swarm optimization. Journal of Petroleum Science and Engineering, 200, 108308. https://doi.org/10.1016/j.petrol.2020.108308
Search via ReFindit
Roussat, C., Carbone, V., & Rouquet, A. (2023). Conceptualizing sharing supply chains-lessons from an exemplary case. International Journal of Operations & Production Management, 43(3), 466-488. https://doi.org/10.1108/IJOPM-10-2021-0670
Search via ReFindit
Singh, M., Rajan, M. A., Shivraj, V. L., & Balamuralidhar, P. (2015). Secure MQTT for internet of things (iot). In 2015 fifth international conference on communication systems and network technologies (pp. 746-751). IEEE. https://doi.org/10.1109/CSNT.2015.16
Search via ReFindit
Stank T., Autry C., Daugherty P., &; Closs D. (2015). Rethink the 10 megatensions that will revolutionize supply chain logistics. Transport Log, 54, 7-32. https://doi.org/10.5325/transportationj.54.1.0007
Search via ReFindit
Terán, J., Navarro, L., Quintero M, C. G., & Pardo, M. (2020). Intelligent driving assistant based on road accident risk map analysis and vehicle telemetry. Sensors, 20(6), 1763. https://doi.org/10.3390/s20061763
Search via ReFindit
Thangavel, D., Ma, X., Valera, A., Tan, H. X., & Tan, C. K. Y. (2014). Performance evaluation of MQTT and CoAP via a common middleware. In 2014 IEEE ninth international conference on intelligent sensors, sensor networks and information processing (ISSNIP) (pp. 1-6). IEEE. https://doi.org/10.1109/ISSNIP.2014.6827678
Search via ReFindit
Wallace, S., & Lăzăroiu, G. (2021). Predictive control algorithms, real-world connected vehicle data, and smart mobility technologies in intelligent transportation planning and engineering. Contemporary Readings in Law and Social Justice, 13(2), 79-92. https://doi.org/10.22381/CRLSJ13220216
Search via ReFindit
Wei, S., Li, X., & Kai, L. (2021). Research on Architecture of Multi-space Telemetry Network System Based on Genetic Algorithm. In 2021 9th International Conference on Communications and Broadband Networking (pp. 217-221). https://doi.org/10.1145/3456415.3457226
Search via ReFindit
Yakimov, V. L., & Maltsev, G. N. (2022). Hybrid network structures and their use in diagnosing complex technical systems. Informatics and Automation, 21(1), 126-160. https://doi.org/10.15622/ia.2022.21.5
Search via ReFindit
Yin, X., Liu, Y., Zhang, E., Li, D., & Li, Z. (2022, December). An evaluation method for power multi-service 5G fusion application scheme based on fuzzy analytic hierarchy process. In 2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC) (pp. 823-827). IEEE. https://doi.org/10.1109/ICFTIC57696.2022.10075297
Search via ReFindit
Yokotani, T., & Sasaki, Y. (2016). Comparison with HTTP and MQTT on required network resources for IoT. In 2016 international conference on control, electronics, renewable energy and communications (ICCEREC) (pp. 1-6). IEEE. https://doi.org/10.1109/ICCEREC.2016.7814989
Search via ReFindit
Zhang, B.S., & Qi, R.K. (2021). Transportation Infrastructure, Innovation Capability, and Urban Economic Development. Transformations in Business & Economics, Vol. 20, No 3C (54C), pp.526-545
Search via ReFindit