{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:35:07Z","timestamp":1760146507392,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The transportation system has a big impact on daily lifestyle and it is essential to energy transition and decarbonization initiatives. Stabilizing the grid and incorporating sustainable energy sources require technologies like the Internet of Energy (IoE) and Internet of Vehicles (IoV). Electric vehicles (EVs) are essential for cutting emissions and reliance on fossil fuels. According to research on flexible charging methods, allowing EVs to trade electricity can maximize travel distances and efficiently reduce traffic. In order to improve grid efficiency and vehicle coordination, this study suggests an ideal method for energy trading in the Internet of Vehicles (IoV) in which EVs bid for electricity and Road Side Units (RSUs) act as buyers. The Taylor Social Optimization Algorithm (TSOA) is employed for this auction process, focusing on energy and pricing to select the best Charging Station (CS). The TSOA integrates the Taylor series and Social Optimization Algorithm (SOA) to facilitate flow redirection post-trading, evaluating each RSU\u2019s redirection factor to identify overloaded or underloaded CSs. The Flow-DNET model determines redirection policies for overloaded CSs. The TSOA + Flow-DNET approach achieved a pricing improvement of 0.816% and a redirection success rate of 0.918, demonstrating its effectiveness in optimizing electricity trading and flow management within the IoV framework.<\/jats:p>","DOI":"10.3390\/systems12110481","type":"journal-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T06:28:32Z","timestamp":1731392912000},"page":"481","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Advanced System for Optimizing Electricity Trading and Flow Redirection in Internet of Vehicles Networks Using Flow-DNET and Taylor Social Optimization"],"prefix":"10.3390","volume":"12","author":[{"given":"Radhika","family":"Somakumar","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Agni College of Technology, Thalambur, Chennai 600130, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Padmanathan","family":"Kasinathan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Agni College of Technology, Thalambur, Chennai 600130, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7744-6102","authenticated-orcid":false,"given":"Rajvikram Madurai","family":"Elavarasan","sequence":"additional","affiliation":[{"name":"School of Engineering and Energy, Murdoch University, Murdoch, WA 6150, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2211-184X","authenticated-orcid":false,"given":"G. M.","family":"Shafiullah","sequence":"additional","affiliation":[{"name":"School of Engineering and Energy, Murdoch University, Murdoch, WA 6150, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"U\u0161inskis, V., Makulavi\u010dius, M., Petkevi\u010dius, S., Dzedzickis, A., and Bu\u010dinskas, V. (2024). Towards Autonomous Driving: Technologies and Data for Vehicles-to-Everything Communication. Sensors, 24.","DOI":"10.3390\/s24113411"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Xu, Y., Alderete Peralta, A., and Balta-Ozkan, N. (2024). Vehicle-to-Vehicle Energy Trading Framework: A Systematic Literature Review. 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