Paper Info
Title
Overcoming IoT Language Barriers Using Smartphone SDRs.
Abstract
In the Internet of Things (IoT) era, smartphones are expected to frequently interact with IoT devices and even facilitate various IoT applications. Due to limited roles, energy constraints, etc., however, IoT devices may use mission-tailored or proprietary wireless protocols that smartphones do not speak natively. In this paper, we propose a novel approach to the wireless “language barrier” problem between the smartphones and IoT devices of the future. We first demonstrate that smartphones have become powerful enough to process software defined radio (SDR) for some known wireless protocols. Moreover, we show that the SDRs can be packaged as “apps” and be downloaded from app stores for OS-independent deployment. Second, we show different SDR protocols on the smartphone can concurrently run through a shared RF to serve multi-tasked applications on it as might happen in diversified IoT environments. For proof-of-concept, we implement a prototype architecture that has all the SDR logic and supporting middleware on an Android smartphone which uses a USRP as the simple RF-end. Finally, we demonstrate that IEEE 802.11p and IEEE 802.15.4 SDRs on a smartphone, respectively, communicate with a ZigBee sensor mote, a ZigBee smart lightbulb, and a commercial Wireless Access in Vehicular Environment (WAVE) device, concurrently.
Year
DOI
Venue
2017
10.1109/TMC.2016.2570749
IEEE Trans. Mob. Comput.
Keywords
Field
DocType
Protocols,Wireless communication,Wireless sensor networks,Radio frequency,IEEE 802.11 Standard,Baseband,Software
Middleware,IEEE 802.11p,Wireless,Software deployment,Android (operating system),Software-defined radio,Computer science,Universal Software Radio Peripheral,Computer network,Wireless sensor network,Embedded system
Journal
Volume
Issue
ISSN
16
3
1536-1233
Citations 
PageRank 
References 
1
0.35
6
Authors
4
Name
Order
Citations
PageRank
Yongtae Park1497.00
Seungho Kuk2114.97
Inhye Kang316917.91
Hyogon Kim449458.48