OpenChirp:一种低功耗广域网架构

Adwait Dongare, Craig Hesling, Khushboo Bhatia, Artur Balanuta, R. Pereira, Bob Iannucci, Anthony G. Rowe
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引用次数: 45

摘要

基础设施监控应用目前缺乏一种经济可靠的解决方案来支持低功耗设备的最后通信跳。蜂窝基础设施的使用需要合同和复杂的无线电,对于每天只需要几比特数据的传感应用来说,这些无线电往往过于耗电,成本过高。新的低功耗、低于千兆赫的远程无线电是一种理想的技术,通过提供能够用数千个端点设备覆盖数公里城市空间的接入点,可以帮助填补这一通信空白。这些新的低功耗广域网(LPWAN)平台提供了一种具有成本效益和高度可部署的选择,可以搭载现有的公共和专用无线网络(WiFi,蜂窝等)。在本文中,我们提出了OpenChirp,这是一种使用LoRa广域网(LoRaWAN)构建的端到端LPWAN架构原型,旨在简化校园和城市等广域物联网(IoT)设备的设计和部署。我们提出了一个软件架构,它暴露了一个应用层,允许用户注册设备,描述传感器属性,传输数据和检索历史值。我们在LoRaWAN之上定义了一个服务模型,它充当会话层,为原始数据流提供基本编码和语法。在设备级,我们介绍了一个开源硬件平台并对其进行基准测试,该平台使用蓝牙低功耗(BLE)来帮助提供可以使用自定义传感器扩展的LoRa客户端。我们根据终端节点能耗、无线电对建筑物的渗透以及目前部署在卡内基梅隆大学的网络提供的覆盖范围来评估该系统。
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OpenChirp: A Low-Power Wide-Area Networking architecture
Infrastructure monitoring applications currently lack a cost-effective and reliable solution for supporting the last communication hop for low-power devices. The use of cellular infrastructure requires contracts and complex radios that are often too power hungry and cost prohibitive for sensing applications that require just a few bits of data each day. New low-power, sub-GHz, long-range radios are an ideal technology to help fill this communication void by providing access points that are able to cover multiple kilometers of urban space with thousands of end-point devices. These new Low-Power Wide-Area Networking (LPWAN) platforms provide a cost-effective and highly deployable option that could piggyback off of existing public and private wireless networks (WiFi, Cellular, etc). In this paper, we present OpenChirp, a prototype end-to-end LPWAN architecture built using LoRa Wide-Area Network (LoRaWAN) with the goal of simplifying the design and deployment of Internet-of-Things (IoT) devices across wide areas like campuses and cities. We present a software architecture that exposes an application layer allowing users to register devices, describe transducer properties, transfer data and retrieve historical values. We define a service model on top of LoRaWAN that acts as a session layer to provide basic encoding and syntax to raw data streams. At the device-level, we introduce and benchmark an open-source hardware platform that uses Bluetooth Low-Energy (BLE) to help provision LoRa clients that can be extended with custom transducers. We evaluate the system in terms of end-node energy consumption, radio penetration into buildings as well as coverage provided by a network currently deployed at Carnegie Mellon University.
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