J. M. Williams, Juan Ruiz-Rosero, Rahul Khanna, G. Pisharody, Yi Qian, J. Wang, C. Carlson, H. Liu, G. Ramírez-González
{"title":"Enabling densely-scalable low-power WSNs for shipping and industrial IoT","authors":"J. M. Williams, Juan Ruiz-Rosero, Rahul Khanna, G. Pisharody, Yi Qian, J. Wang, C. Carlson, H. Liu, G. Ramírez-González","doi":"10.1109/UEMCON.2017.8249097","DOIUrl":null,"url":null,"abstract":"Low-power technologies and communication protocols have enabled pervasive monitoring and the Internet of Things (IoT) for diverse applications. Yet, many wide-reaching use-cases such as shipping and industrial IoT (IIoT) demand next-generation energy-efficiency for wireless sensor networks (WSNs). The enormous growth requirements in this and related fields are not easily met by current state-of-the-art prototypes and comparisons are nontrivial among dozens of differentiating characteristics and impact factors. This work ideates a lightweight densely-scalable network of sensor nodes that must survive on a coin-cell battery for 15 days minimum, sending minute-to-minute alerts for remote analytics and control. This end-to-end solution enables status tracking throughout the shipping lifecycle with a quick-deploy WSN to detect damage/theft in near-real-time. This work contributes a scalable WSN (1) communication protocol, (2) software development kit, and (3) reference hardware. This full-stack system offers a self-configuring, customizable WSN for low-duty-cycle pervasive monitoring in a small, low-cost form-factor.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UEMCON.2017.8249097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Low-power technologies and communication protocols have enabled pervasive monitoring and the Internet of Things (IoT) for diverse applications. Yet, many wide-reaching use-cases such as shipping and industrial IoT (IIoT) demand next-generation energy-efficiency for wireless sensor networks (WSNs). The enormous growth requirements in this and related fields are not easily met by current state-of-the-art prototypes and comparisons are nontrivial among dozens of differentiating characteristics and impact factors. This work ideates a lightweight densely-scalable network of sensor nodes that must survive on a coin-cell battery for 15 days minimum, sending minute-to-minute alerts for remote analytics and control. This end-to-end solution enables status tracking throughout the shipping lifecycle with a quick-deploy WSN to detect damage/theft in near-real-time. This work contributes a scalable WSN (1) communication protocol, (2) software development kit, and (3) reference hardware. This full-stack system offers a self-configuring, customizable WSN for low-duty-cycle pervasive monitoring in a small, low-cost form-factor.