• Publications
  • Influence
State of the Art and Research Challenges for Public Flying Ubiquitous Sensor Networks
TLDR
The article deals with theoretical and practical directions of Public Flying Ubiquitous Sensor Networks (FUSN-P) research. Expand
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Software-defined architecture for flying ubiquitous sensor networking
TLDR
The paper describes a flying ubiquitous sensor network, which is based on SDN architecture, improves its resistance to changes in the structure, reduces the amount of routing traffic due to its location within the same management cluster. Expand
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Chaotic salp swarm algorithm for SDN multi-controller networks
TLDR
A dynamic optimization algorithm that is based on the Salp Swarm Optimization Algorithm (SSOA) is developed with the introduction of chaotic maps for enhancing the optimizer’s performance. Expand
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Development of Intelligent Core Network for Tactile Internet and Future Smart Systems
TLDR
This paper introduces a Tactile Internet system structure, which employs SDN in the core of the cellular network and mobile edge computing (MEC) in multi-levels. Expand
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Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain
TLDR
We present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. Expand
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Model networks for Internet of Things and SDN
TLDR
The Model Networks have found widespread implementation in testing devices and applications of the Internet of Things based on model networks. Expand
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Mobility adaptive clustering algorithm for wireless sensor networks with mobile nodes
TLDR
In this study, the authors propose a mobility adaptive clustering algorithm for wireless sensor networks with mobile nodes. Expand
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Multilevel cloud based Tactile Internet system
TLDR
We introduce a novel approach toward a multi-level cloud based cellular system, in which the small cells are connected with micro-cloud units with small capabilities to present the edge computing facilities. Expand
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IoT traffic prediction using multi-step ahead prediction with neural network
TLDR
In this paper, we perform the IoT traffic time series prediction using a multistep ahead prediction with Time Series NARX Feedback Neural Networks. Expand
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Prediction-based clustering algorithm for mobile wireless sensor networks
TLDR
We present a prediction-based clustering algorithm for mobile sensor networks that uses adequate criterion for cluster-head election in conjunction with heuristic predictors to generate steady and balanced clusters. Expand
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