Self-Stabilizing Clustering Algorithm for Ad Hoc Networks

Santamaria

et al. 2020

Int J Communication

Self Cite

With the advent of the Internet of Things (IoT), more and more devices can establish a connection with local area networks and use routing protocols to forward all information to the sink. But these devices may not have enough resources to execute a complex routing protocol or to memorize all information about the network. With proactive routing protocols, each node calculates the best path, and it needs enough resources to memorize the network topology.With reactive routing protocols, each node has to broadcast the message to learn the right path that the packets must follow. In all cases, in large networks such as IoT, this is not an appropriate mechanism. This paper presents a new software-defined network (SDN)-based network architecture to optimize the resource consumption of each IoT object while securing the exchange of messages between the embedded devices. In this architecture, the controller is in charge of all decisions, and objects only exchange messages and forward packets among themselves. In the case of large networks, the network is organized into clusters. Our proposed network architectures are tested with 1000 things grouped in five clusters and managed by one SDN controller. The tests using OpenDayLight and IoT embedded applications have been implemented on several scenarios providing the ability and the scalability from dynamic reorganization of the end-devices. This approach explores the network performance issues using a virtualized SDN-clustered environment which contributes to a new model for future network architectures. KEYWORDScomputer network management, distributed computing, Internet of Things, network topology, software-defined networking, wireless sensor networks INTRODUCTIONWith the Internet of Things (IoT), we have more and more devices connected to our local area network. Many of these things are only sensor devices to control humidity or the temperature of a room or to measure atmospheric pressure to predict the weather. Each of these devices is connected to the local area network of an enterprise or on the metropolitan network of a town. Sometimes, these things involve remote control as with thermostats or exchange of information between themselves as with smoke detection systems. Our goal with each thing is not only to route information on a network but also to execute orders of some kind. With the new paradigm of software-defined networking (SDN), 1,2 being one of the major research subjects obtaining support from a large number of major industries, we can decouple the control Int J Commun Syst. 2020;33:e4309.wileyonlinelibrary.com/journal/dac

k

between the cluster head and any node.…”

Section: Architectures For Software‐defined Wireless Sensor Network:mentioning

confidence: 99%

An SDN approach to route massive data flows of sensor networks

Santamaria

et al. 2020

Int J Communication

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“…Different clustering solutions have been proposed in the literature. Some solutions proposed building 1-hop clusters [11], [12], [13], [14]. In those solutions, each node is at a most a distance of 1 from the cluster head, and the maximum diameter of each cluster is 2.…”

Section: State Of the Artmentioning

confidence: 99%

SDN Based Architecture for Clustered WSN

González

2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

2015

In this paper, we propose to the concept of software-defined networking (SDN) in wireless sensor networks (WSNs) with a structured and hierarchical management. We argue that structured and hierarchical management using SDN promises a solution to some inherent problems in WSN management. Furthermore, we propose a cluster based architecture with multiple base stations as hosts for the SDN control functions and as cluster heads in the same time. We also suggest a general architecture for a software-defined wireless sensor network where the controller exchanges information with other SDN domains. We call this new architecture: software-defined clustered sensor networks (SDCSN). In addition we highlight some future directions and raise some important questions that need to be investigated in future research in software-defined networks for ad-hoc and sensor networks.

“…Different clustering solutions have been proposed in the literature. Some interesting solutions introduce building 1-hop clusters [14], [15], [16], [17]. In those solutions, each node is at a most a distance of 1 from the cluster head, and the maximum diameter of each cluster is 2.…”

Section: Introductionmentioning

confidence: 99%

A Novel Distributed SDN-Secured Architecture for the IoT

González

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)

et al. 2016

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Due to their rapid evolution, mobile devices demand for more dynamic and flexible networking services. A major challenges of future mobile networks is the increased mobile traffic. With the recent upcoming technologies of network programmability like Software-Defined Network (SDN), it may be integrated to create a new communication platform for Internet of Things (IoT). In this work, we present how to determine the effectiveness of an approach to build a new secured network architecture based on SDN and clusters. Our proposed scheme is a starting point for some experiments providing perspective over SDN deployment in a cluster environment. With this aim in mind, we suggest a routing protocol that manages routing tasks over Cluster-SDN. By using network virtualization and OpenFlow technologies to generate virtual nodes, we simulate a prototype system controlled by SDN. With our testbed, we are able to manage 500 things. We can analyze every OpenFlow messages and we have discovered that with a particular flow, the things can exchange information unlike the routing principle.