Energy‐efficient node‐to‐node communication scheme for fog‐based cellular networks / K. B. Sanjay, D. N. K. Dzhayakodi (Jayakody) Arachshiladzh

Уровень набора: IET CommunicationsОсновной Автор-лицо: Sanjay, K. B., Kumar BiswashАльтернативный автор-лицо: Dzhayakodi (Jayakody) Arachshiladzh, D. N. K., specialist in the field of electronics, Professor of Tomsk Polytechnic University, 1983-, Dushanta Nalin KumaraКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа информационных технологий и робототехники, Научно-образовательный центр "Автоматизация и информационные технологии"Язык: английский.Резюме или реферат: In this study, the authors present an energy‐efficient technique for the fog‐networks, where a node can communicate to other users using limited network infrastructure support. The authors' contribution is central to node mobility and lower energy consumption rates. They propose an energy‐efficient cellular communication model for fog‐networks. To establish the connection between the source and the destination node, the next generation involves node base station imports required information from nearby fog nodes and performs the network management with the help of data analytic units. A system‐level optimisation for the energy consumption model is also proposed, which supports a high degree of node mobility. They compared their results with 4G/LTE and observed that the proposed work provides the least energy consumption as compared to the legacy of the networks..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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In this study, the authors present an energy‐efficient technique for the fog‐networks, where a node can communicate to other users using limited network infrastructure support. The authors' contribution is central to node mobility and lower energy consumption rates. They propose an energy‐efficient cellular communication model for fog‐networks. To establish the connection between the source and the destination node, the next generation involves node base station imports required information from nearby fog nodes and performs the network management with the help of data analytic units. A system‐level optimisation for the energy consumption model is also proposed, which supports a high degree of node mobility. They compared their results with 4G/LTE and observed that the proposed work provides the least energy consumption as compared to the legacy of the networks.

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