Ma Xingpo, Liang Junbin, Liu Renping, Ni Wei, Li Yin, Li Ran, Ma Wenpeng, Qi Chuanda
School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China.
School of Computer and Electronic Information, Guangxi University, Nanning 530004, China.
Sensors (Basel). 2018 Feb 10;18(2):546. doi: 10.3390/s18020546.
In the post-Cloud era, the proliferation of Internet of Things (IoT) has pushed the horizon of Edge computing, which is a new computing paradigm with data are processed at the edge of the network. As the important systems of Edge computing, wireless sensor and actuator networks (WSANs) play an important role in collecting and processing the sensing data from the surrounding environment as well as taking actions on the events happening in the environment. In WSANs, in-network data storage and information discovery schemes with high energy efficiency, high load balance and low latency are needed because of the limited resources of the sensor nodes and the real-time requirement of some specific applications, such as putting out a big fire in a forest. In this article, the existing schemes of WSANs on data storage and information discovery are surveyed with detailed analysis on their advancements and shortcomings, and possible solutions are proposed on how to achieve high efficiency, good load balance, and perfect real-time performances at the same time, hoping that it can provide a good reference for the future research of the WSANs-based Edge computing systems.
在云后时代，物联网（IoT）的激增拓展了边缘计算的视野，边缘计算是一种新的计算范式，数据在网络边缘进行处理。作为边缘计算的重要系统，无线传感器与执行器网络（WSANs）在收集和处理来自周围环境的传感数据以及对环境中发生的事件采取行动方面发挥着重要作用。在WSANs中，由于传感器节点资源有限以及一些特定应用（如扑灭森林大火）的实时需求，需要高效、高负载均衡和低延迟的网络内数据存储和信息发现方案。本文对WSANs现有的数据存储和信息发现方案进行了综述，详细分析了它们的优点和缺点，并就如何同时实现高效率、良好的负载均衡和完美的实时性能提出了可能的解决方案，希望能为基于WSANs的边缘计算系统的未来研究提供良好的参考。
