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A Survey on Data Storage and Information Discovery in the WSANs-Based Edge Computing Systems.

Xingpo Ma1, Junbin Liang2, Renping Liu3

  • 1School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China. maxingpo@xynu.edu.cn.

Sensors (Basel, Switzerland)
|February 15, 2018
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Summary

Wireless sensor and actuator networks (WSANs) are crucial for edge computing. This survey analyzes WSAN data storage and discovery schemes, proposing solutions for efficiency, load balance, and real-time performance.

Keywords:
Edge computingInternet of ThingsWSANsdata storageinformation discovery

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • The proliferation of Internet of Things (IoT) devices necessitates edge computing, where data processing occurs at the network's edge.
  • Wireless Sensor and Actuator Networks (WSANs) are key components of edge computing, responsible for data collection, processing, and environmental action.
  • Limited resources of sensor nodes and real-time application demands (e.g., forest fire response) highlight the need for efficient in-network data storage and discovery.

Purpose of the Study:

  • To survey and analyze existing data storage and information discovery schemes in WSANs.
  • To identify advancements and shortcomings of current WSAN schemes.
  • To propose solutions for achieving high energy efficiency, load balance, and low latency in WSANs for edge computing.

Main Methods:

  • Literature review and analysis of existing WSAN data storage and information discovery schemes.
  • Comparative analysis of schemes based on energy efficiency, load balance, and latency.
  • Identification of research gaps and proposal of potential solutions.

Main Results:

  • Existing WSAN schemes present trade-offs between energy efficiency, load balance, and latency.
  • No single scheme perfectly addresses all requirements simultaneously.
  • Analysis reveals areas for improvement in resource management and distributed information discovery.

Conclusions:

  • Achieving high efficiency, load balance, and real-time performance in WSANs for edge computing remains a challenge.
  • Further research is needed to develop integrated solutions addressing these concurrent requirements.
  • This survey provides a foundation for future research in optimizing WSANs for edge computing environments.