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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Software Defined Networks in Wireless Sensor Architectures.

Jesús Antonio Puente Fernández1, Luis Javier García Villalba1, Tai-Hoon Kim2

  • 1Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases, 9, Ciudad Universitaria, 28040 Madrid, Spain.

Entropy (Basel, Switzerland)
|December 3, 2020
PubMed
Summary

Software Defined Networks (SDN) offer flexible network management by separating control and data planes. This survey reviews SDN and OpenFlow, exploring their application in Wireless Sensor Networks and Wireless Cellular Networks to address challenges.

Keywords:
controllerdata planemanagementresource allocationsoftware defined networkswireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Traditional Internet protocols face challenges in control and distributed management, leading to inefficient and unpredictable network behavior.
  • The coexistence of multiple protocols complicates network oversight and optimization.
  • Existing network architectures lack the flexibility required for modern demands.

Purpose of the Study:

  • To provide a comprehensive survey of Software Defined Networks (SDN) technology and the OpenFlow protocol.
  • To explore the integration of SDN within Wireless Sensor Networks (WSN) and Wireless Cellular Networks (WCN).
  • To classify existing solutions addressing challenges in these specific network technologies using SDN.

Main Methods:

  • Review of existing literature on SDN and OpenFlow.
  • Analysis of SDN's applicability to Wireless Sensor Networks and Wireless Cellular Networks.
  • Classification of solutions based on the problems they address within these networks.

Main Results:

  • SDN architecture, with its separation of control and data planes, offers enhanced flexibility and simplified network management.
  • OpenFlow protocol facilitates communication between SDN controllers and data plane switches.
  • SDN integration can effectively address specific challenges in Wireless Sensor Networks and Wireless Cellular Networks.

Conclusions:

  • Software Defined Networks and the OpenFlow protocol represent a significant advancement in network architecture.
  • The decoupling of control and data planes allows for rapid protocol evolution and deployment without hardware replacement.
  • SDN provides a viable framework for overcoming the limitations of traditional networks, particularly in specialized areas like WSNs and WCNs.