In this paper, we propose a new programmable architecture based on Software Defined Network (SDN) paradigm for network control functionalities in Internet of Things (IoT) using the Connected Dominating Sets (CDS). In ...
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In this paper, we propose a new programmable architecture based on Software Defined Network (SDN) paradigm for network control functionalities in Internet of Things (IoT) using the Connected Dominating Sets (CDS). In order to reduce the traffic load and to avoid a single point of failure at the controller node, we distribute the controllers role by introducing three levels of control: Principal Controller (PC), Secondary Controller (SC), the Local Controller (LC). The PC has a global view of the network infrastructure which is not the case of SC where it focuses only on one network technology. The LC acts locally by managing and relaying signaling messages from ordinary nodes to the SC. In order to select the LC nodes, we propose a distributed Local Controller Connected Dominating Set algorithm (DLC-CDS). The DLC-CDS is a distributed algorithm with single phase and supports the dynamic network topology. The selection strategy of DLC-CDS is based on an important function named score, which is computed using the fuzzy logic and it depends on several parameters such as: the connectivity degree, the average link quality, and the rank. The performance of the proposed DLC-CDS are evaluated and compared with another solution named distributed Single Phase-CDS (DSP-CDS) using many scenarios with different parameters: the node density and the radio range. The obtained results show that the DLC-CDS converges rapidly with a minimum CDS size compared to a DSP-CDS. (C) 2017 Elsevier B.V. All rights reserved.
In this paper, we focus on network control functionalities and resources management in Internet of Things (IoT) using Software Defined Network (SDN) and Fog computing paradigms. We propose a new hybrid and programmabl...
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ISBN:
(纸本)9781509043729
In this paper, we focus on network control functionalities and resources management in Internet of Things (IoT) using Software Defined Network (SDN) and Fog computing paradigms. We propose a new hybrid and programmable architecture to make an appropriate decision related to the control process (centralized or semi-distribute) according to different heterogeneous parameters. The centralized scenario is a classical approach of SDN. However, the semi-distributed scenario consists in introducing different level of control: principal controller, secondary controllers, and local controllers nodes. In order to adapt the architecture to network topology, we use Connected Dominating Sets (CDS) algorithm to select a relevant subset of nodes able to act as local controllers. The selection strategy is proposed using fuzzy set approach based on different network parameters: connectivity degree, link quality, and the distance in terms of hop number from the gateway. The obtained results show that the selection strategy gives good results in terms of local controller selection.
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