Electrosense plus : Crowdsourcing radio spectrum decoding using IoT receivers
Electrosense plus : Crowdsourcing radio spectrum decoding using IoT receivers
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DOI：
10.1016/j.comnet.2020.107231
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发表时间：
2020-06-19
影响因子：
5.6
通讯作者：
Lenders, Vincent
中科院分区：
文献类型：
--
作者：
Calvo-Palomino, Roberto;Cordobes, Hector;Lenders, Vincent
基于众包的网络频谱监测系统最近得到了普及。然而，这些系统限于政府组织或电信提供商感兴趣的应用，并且仅提供关于频谱统计的聚合信息。结果是外行用户缺乏参与的兴趣，这限制了其广泛部署。我们提出了Electrosense +，它解决了这一挑战，并使用低成本，嵌入式和软件定义的频谱物联网传感器创建了一个通用和开放的频谱监测平台。Electrosense +允许用户远程解码无线电频谱的特定部分。它建立在其前身Electrosense的集中式架构基础上，用于控制和监控频谱物联网传感器，但实现了实时和对等通信系统，用于可扩展的频谱数据解码。我们提出了不同的机制来激励用户参与部署新的传感器，并保持它们在Electrosense网络中运行。作为对用户的奖励，我们提出了一个基于虚拟令牌的激励会计系统，以鼓励参与者托管物联网传感器。我们介绍了新的Electrosense +系统架构，并评估了其解码各种无线信号的性能，包括FM收音机，AM收音机，ADS-B，AIS，LTE和ACARS。
Web spectrum monitoring systems based on crowdsourcing have recently gained popularity. These systems are however limited to applications of interest for governamental organizations or telecom providers, and only provide aggregated information about spectrum statistics. The result is that there is a lack of interest for layman users to participate, which limits its widespread deployment. We present Electrosense + which addresses this challenge and creates a general-purpose and open platform for spectrum monitoring using low-cost, embedded, and software-defined spectrum IoT sensors. Electrosense + allows users to remotely decode specific parts of the radio spectrum. It builds on the centralized architecture of its predecessor, Electrosense, for controlling and monitoring the spectrum IoT sensors, but implements a real-time and peer-to-peer communication system for scalable spectrum data decoding. We propose different mechanisms to incentivize the participation of users for deploying new sensors and keep them operational in the Electrosense network. As a reward for the user, we propose an incentive accounting system based on virtual tokens to encourage the participants to host IoT sensors. We present the new Electrosense + system architecture and evaluate its performance at decoding various wireless signals, including FM radio, AM radio, ADS-B, AIS, LTE, and ACARS.