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When Sensor-Cloud Meets Mobile Edge Computing.

Tian Wang1,2, Yucheng Lu1, Zhihan Cao1

  • 1College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China.

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|December 11, 2019
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Summary
This summary is machine-generated.

Mobile edge computing addresses sensor-cloud limitations like latency and security. This approach enhances wireless sensor networks (WSNs) with cloud benefits while mitigating traditional drawbacks.

Keywords:
WSNscloud computingmobile edge computingsensor-clouds

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • Sensor-clouds integrate wireless sensor networks (WSNs) with cloud computing, enhancing WSN capabilities.
  • Traditional sensor-clouds face challenges including communication/energy limits, high latency, and security/privacy concerns.

Purpose of the Study:

  • To analyze the current research status and characteristics of sensor-clouds.
  • To identify and discuss the inherent issues within sensor-cloud architectures.
  • To propose mobile edge computing as a solution to sensor-cloud shortcomings.

Main Methods:

  • Analysis of existing sensor-cloud research and architectures.
  • Identification of key challenges in sensor-cloud systems.
  • Proposal and discussion of mobile edge computing applications, including trust evaluation and trustworthy data collection.

Main Results:

  • Mobile edge computing (MEC) offers a promising solution to overcome sensor-cloud limitations.
  • MEC can enhance sensor-cloud systems by addressing latency, security, and data processing issues.
  • Proposed trust evaluation and data collection mechanisms leverage MEC for improved sensor-cloud performance.

Conclusions:

  • Mobile edge computing significantly enhances sensor-cloud capabilities by decentralizing processing.
  • MEC-based solutions are crucial for addressing the inherent challenges of sensor-clouds.
  • Future research should focus on further exploring MEC applications and addressing associated challenges in sensor-clouds.