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Resource Allocation and Throughput Maximization for IoT Real-time Applications

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  • R. Basir
  • S. Qaisar
  • M. Ali
  • H. Pervaiz
  • M. Naeem
  • M.A. Imran
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Publication date25/05/2020
<mark>Original language</mark>English
Event91st IEEE Vehicular Technology Conference - Online
Duration: 25/05/202031/07/2020

Conference

Conference91st IEEE Vehicular Technology Conference
Abbreviated titleVTC Spring 2020
Period25/05/2031/07/20

Abstract

The foreseen enormous generation of mobile data would result in congestion of the spectrum available. To efficiently use the available spectrum new paradigm named fog computing is a promising solution. In this paper, we developed a fog-IoT network to provide an \varepsilon-optimal resource allocation to maximize the overall network throughput. A joint cloudlet selection and power allocation problem is formulated under association and Quality-of-Service (QoS) constraints. The formulated problem falls in class of mixed-integer nonlinear programming (MINLP) problem which is NP-hard generally. We solved our problem by applying a less complex linearization technique that uses the outer approximation algorithm (OAA). Resource allocation and power allocation are efficiently conducted as a result of this optimization, which is less complicated compared to exhaustive search. © 2020 IEEE.

Bibliographic note

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