Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things最新文献

Experiences in LP-IoT: EnviSense Deployment of Remotely Reprogrammable Environmental Sensors LP-IoT的经验:设想远程可编程环境传感器的部署

Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things Pub Date : 2021-10-25 DOI: 10.1145/3477085.3478988

Reese Grimsley, M. Marineau, Bob Iannucci

引用次数: 1

Plant Keeper: Towards Wireless Sensing to Ion Transmission of Plants 植物管理员:从无线传感到植物离子传输

Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things Pub Date : 2021-10-25 DOI: 10.1145/3477085.3478990

Junchao Zhang, Zhaolong Wei, Jialiang Sun, Miaojie Guo, Xuan Huang, Xiaojiang Chen, Dingyi Fang, Yao Peng

{"title":"Plant Keeper: Towards Wireless Sensing to Ion Transmission of Plants","authors":"Junchao Zhang, Zhaolong Wei, Jialiang Sun, Miaojie Guo, Xuan Huang, Xiaojiang Chen, Dingyi Fang, Yao Peng","doi":"10.1145/3477085.3478990","DOIUrl":"https://doi.org/10.1145/3477085.3478990","url":null,"abstract":"Plant sensing plays an important role in today's smart agriculture and intelligent forestry. However, existing plant sensing work based on wireless IoT mostly focuses on the environment that plants live like soil moisture and temperature of a greenhouse or a farm. The information about the surrounding environment does not reflect the physical condition of the plant itself. Taking ambient RF signal and commodity RFID tag as the fundamental sensing platform, we explore the Plant-Keeper, a real-time monitor system, which traces the physical state and biological activities of plants by perceiving Ion transmission in plants, like water content and the reaction of plants to an external stimulus such as Cut, Salt, Chilling, and Drought Stresses. We make the following technical contributions to achieve this goal. First, a theoretical model to verify that sensing the Ion transmission like Ca2+ channel and K+ channel by the low-power wireless backscatter technique are feasible; Second, a hardware-based non-invasive sensing system that can obtain the physical changes in plants by using the impedance-related RSS (Received Signal Strength); Third, a low-power low-cost implementation that based on a commercial RFID tag with the hardware structure we have proposed. Experimental results demonstrate that our system can monitor the ion channel changes of the whole plant systematically, and improve the detection accuracy to the millisecond level. The detection speed is 103 times that of the traditional patch-clamp technique, and the latter is not available for whole system inspection of plants in vivo.","PeriodicalId":422035,"journal":{"name":"Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130399584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Soil Power?: Can Microbial Fuel Cells Power Non-Trivial Sensors? 土壤的权力?微生物燃料电池能否为非平凡传感器供电?

Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things Pub Date : 2021-10-25 DOI: 10.1145/3477085.3478989

Gabriela Marcano, P. Pannuto

引用次数: 10

smol: Sensing Soil Moisture using LoRa smol:利用LoRa检测土壤湿度

Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things Pub Date : 2021-10-04 DOI: 10.1145/3477085.3478991

Daniel Kiv, Garvita Allabadi, Berkay Kaplan, R. Kravets

{"title":"smol: Sensing Soil Moisture using LoRa","authors":"Daniel Kiv, Garvita Allabadi, Berkay Kaplan, R. Kravets","doi":"10.1145/3477085.3478991","DOIUrl":"https://doi.org/10.1145/3477085.3478991","url":null,"abstract":"Technologies for environmental and agricultural monitoring are on the rise, however there is a lack of small, low-power, and low-cost sensing devices in the industry. One of these monitoring tools is a soil moisture sensor. Soil moisture has significant effects on crop health and yield, but commercial monitors are very expensive, require manual use, or constant attention. This calls for a simple and low cost solution based on a novel technology. In this work we introduce smol: Sensing Soil Moisture using LoRa, a low-cost system to measure soil moisture using received signal strength indicator (RSSI) and transmission power. It is compact and can be deployed in the field to collect data automatically with little manual intervention. Our design is enabled by the phenomenon that soil moisture attenuates wireless signals, so the signal strength between a transmitter-receiver pair decreases. We exploit this physical property to determine the variation in soil moisture. We designed and tested our measurement-based prototype in both indoor and outdoor environments. With proper regression calibration, we show soil moisture can be predicted using LoRa parameters.","PeriodicalId":422035,"journal":{"name":"Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126979448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4