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Cloud-based virtualization environment for IoT-based WSN: solutions, approaches and challenges.

Nasr Almurisi1, Srinivasulu Tadisetty1

  • 1ECE Department, College of Engineering and Technology, Kakatiya University, Warangal, India.

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|April 4, 2022
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Summary
This summary is machine-generated.

Internet of Things (IoT) and Wireless Sensor Networks (WSN) face limitations. Cloud computing and virtualization offer a solution for enhanced IoT-WSN applications.

Keywords:
Cloud computingCloud-based virtualization environmentFog computingIoTSensor-cloudVirtualization techniquesWSN

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Information Technology

Background:

  • The Internet of Things (IoT) paradigm relies on interconnected devices for ubiquitous services.
  • Wireless Sensor Networks (WSN) are crucial for data collection but lack computational resources for modern smart applications.
  • Traditional WSNs struggle with real-time data acquisition, parallel processing, and dynamic resource sharing.

Purpose of the Study:

  • To explore a co-effective solution for IoT-WSN limitations using Cloud Computing and Virtualization Techniques.
  • To review current trends in IoT-WSN, virtualization, and cloud computing.
  • To propose a new architecture for the Sensor-Cloud paradigm.

Main Methods:

  • Literature review of IoT-WSN, virtualization techniques, and cloud computing.
  • Analysis of integrating sensor networks with cloud-based virtualization.
  • Development of a general architecture for the Sensor-Cloud paradigm.

Main Results:

  • Cloud computing offers abundant resources and storage, while virtualization enables resource sharing.
  • Integration of IoT-WSN with cloud-based virtualization overcomes traditional network limitations.
  • A new Sensor-Cloud architecture is proposed, detailing its elements, principles, and operations.

Conclusions:

  • Cloud-based virtualization provides a flexible and efficient environment for novel IoT-WSN applications.
  • The proposed Sensor-Cloud architecture addresses the challenges of conventional constrained devices.
  • Further research is needed on state-of-the-art, challenges, and future directions in Sensor-Cloud.