Self-stabilizing k-hops clustering algorithm for wireless ad hoc networks

Ba, Mandicou; Flauzac, Olivier; Haggar, Bachar Salim; Nolot, Florent; Niang, Ibrahima

doi:10.1145/2448556.2448594

Cited by 13 publications

(22 citation statements)

References 14 publications

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“…In the literature, some clustering solutions have been proposed for building 1‐hop clusters; the distance between the cluster head and any node is at most 1. Other solutions build k‐hop clusters in which the distance is at most

k

between the cluster head and any node. In our proposed solution, any cluster architecture can be used.…”

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

confidence: 99%

“…Organizing the sensor nodes into clusters minimizes the number of control message exchanges and increases security. In our clustering solution, called SDCSN, we assume that each cluster head is an SDN controller and the other nodes can be in one of the following states (as defined in previous studies): simple node (SN) or gateway node (GN). The cluster head of the cluster is an SDN controller, called (SDNCH), defined in Gonzalez et al and illustrated Figure .…”

Section: Sdcsn: Software‐defined Clustered Sensor Network Architecturementioning

confidence: 99%

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An SDN approach to route massive data flows of sensor networks

Flauzac

Santamaria

Nolot

et al. 2020

Int J Communication

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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

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k

between the cluster head and any node. In our proposed solution, any cluster architecture can be used.…”

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

confidence: 99%

Section: Sdcsn: Software‐defined Clustered Sensor Network Architecturementioning

confidence: 99%

An SDN approach to route massive data flows of sensor networks

Flauzac

Santamaria

Nolot

et al. 2020

Int J Communication

Self Cite

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“…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. Other solutions build k-hops clusters [15], [16], [24]. In k-hop cluster solutions, each node can be located at a distance at most of k from the cluster head and the maximum diameter of clusters is 2k.…”

Section: State Of the Artmentioning

confidence: 99%

“…For this reason, we propose to cluster the network and assume that each cluster head is a controller. Each node can be in one of the following states [5], [6], [24]: Simple Node (SN), Gateway Node (GN) or Cluster Head (CH). In our approach, Cluster Head (CH) in SDCSN architecture are called SDN Cluster Head (SDNCH).…”

Section: The Software Defined Clustered Sensor Network Architecmentioning

confidence: 99%

“…Based in this approach, we can set configuration parameters, store data and aggregate the collected information in the domain or sending information to the sink or some other SDNCH. If a SDNCH is disabled, the entire domain becomes inaccessible temporarily, based on self-stabilizing clustering for WSNs [24] a new SDNCH can be selected. Each sensor node exchanges information with its neighbors or 2-hop neighbors.…”

Section: The Software Defined Clustered Sensor Network Architecmentioning

confidence: 99%

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SDN Based Architecture for Clustered WSN

Flauzac

González

Nolot

2015

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

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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.

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Software-Defined Wireless Sensor Network: A Comprehensive Survey

Narwaria

Mazumdar

2023

Journal of Network and Computer Applications

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Self-stabilizing k-hops clustering algorithm for wireless ad hoc networks

Cited by 13 publications

References 14 publications

An SDN approach to route massive data flows of sensor networks

An SDN approach to route massive data flows of sensor networks

SDN Based Architecture for Clustered WSN

Software-Defined Wireless Sensor Network: A Comprehensive Survey

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