Multiprotocol backscatter for personal IoT sensors
Wei Gong, Longzhi Yuan, Qiwei Wang, Jia Zhao
Abstract
We present multiscatter, a novel backscatter design that can simultaneously work with multiple excitation signals for personal IoT sensors. Specifically, we show for the first time that the backscatter tag can identify various excitation signals in an ultra-low-power way, including WiFi, Bluetooth, and ZigBee. Further, we employ a new modulation approach, overlay modulation, that can leverage those excitation signals to convey tag data on top of productive data, which makes decoding both data possible with only a single personal radio. Since 2.4 GHz signals and personal radios are everywhere, multiscatter is readily deployable in our everyday IoT applications.
Topics & Concepts
Computer scienceBackscatter (email)BluetoothDecoding methodsOverlayLeverage (statistics)Modulation (music)TelecommunicationsWirelessArtificial intelligenceAcousticsPhysicsProgramming languageEnergy Harvesting in Wireless NetworksIndoor and Outdoor Localization TechnologiesOpportunistic and Delay-Tolerant Networks