R. Guida, Neil Dave, Francesco Restuccia, Emrecan Demirors, T. Melodia
{"title":"The Implantable Internet of Medical Things","authors":"R. Guida, Neil Dave, Francesco Restuccia, Emrecan Demirors, T. Melodia","doi":"10.1145/3447853.3447861","DOIUrl":"https://doi.org/10.1145/3447853.3447861","url":null,"abstract":"The promise of real-time detection and response to life-crippling diseases brought by the Implantable Internet of Medical Things (IIoMT) has recently spurred substantial advances in implantable technologies. Yet, existing medical devices do not provide at once the miniaturized end-to-end body monitoring, wireless communication and remote powering capabilities to implement IIoMT applications. This paper fills the existing research gap by presenting U-Verse, the first FDA-compliant rechargeable IIoMT platform packing sensing, computation, communication, and recharging circuits into a penny-scale platform. Extensive experimental evaluation indicates that U-Verse (i) can be wirelessly recharged and can store energy several orders of magnitude more than state-of-theart capacity in tens of minutes; (ii) with one single charge, it can operate from few hours to several days. Finally, U-Verse is demonstrated through (i) a closed-loop application that sends data via ultrasounds through real porcine meat; and (ii) a real-time reconfigurable pacemaker.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"9 1","pages":"20 - 25"},"PeriodicalIF":1.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82590267","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}
Charles J. Carver, Zhao Tian, Hongyong Zhang, K. Odame, Alberto Quattrini Li, Xia Zhou
{"title":"AmphiLight","authors":"Charles J. Carver, Zhao Tian, Hongyong Zhang, K. Odame, Alberto Quattrini Li, Xia Zhou","doi":"10.1145/3447853.3447862","DOIUrl":"https://doi.org/10.1145/3447853.3447862","url":null,"abstract":"The underwater world is still largely unexplored yet surveying and monitoring submerged sites is fundamental for many applications, including archaeology, biology, and disaster response [1, 2, 3]. One of the challenges for underwater autonomous deployments is limited communication between assets underwater and in the air. One conventional strategy is to periodically let the underwater vehicle surface to share data [4], which is inefficient due to time not being spent on the task. Another strategy is to deploy a network of buoys at the water surface [5], connected to both the underwater assets (via acoustic transducers) and the ground station (via Wi-Fi). This deployment configuration increases the cost and logistical overhead, limiting the overall scalability of the system.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"67 1","pages":"26 - 29"},"PeriodicalIF":1.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73789861","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}
Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, S. Lee
{"title":"Enabling Batteryless Wearable Devices by Transferring Power Through The Human Body","authors":"Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, S. Lee","doi":"10.1145/3447853.3447863","DOIUrl":"https://doi.org/10.1145/3447853.3447863","url":null,"abstract":"Over the past few decades, we have witnessed tremendous advancements in semiconductor and MEMS technologies, leading to the proliferation of ultra-miniaturized and ultra-low-power (in micro-watt ranges) wearable devices for wellness and healthcare [1]. Most of these wearable sensors are battery powered for their operation. The use of an on-device battery as the primary energy source poses a number of challenges that serve as the key barrier to the development of novel wearable applications and the widespread use of numerous, seamless wearable sensors [5].","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"21 1","pages":"30 - 34"},"PeriodicalIF":1.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78436167","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}
U. Ramachandran, H. Gupta, Adam Hall, Enrique Saurez, Zhuangdi Xu
{"title":"A Case for Elevating the Edge to be a Peer of the Cloud","authors":"U. Ramachandran, H. Gupta, Adam Hall, Enrique Saurez, Zhuangdi Xu","doi":"10.1145/3447853.3447859","DOIUrl":"https://doi.org/10.1145/3447853.3447859","url":null,"abstract":"Over the last 20 years, mobile computing has evolved to encompass a wide array of increasingly data-rich applications. Many of these applications were enabled by the Cloud computing revolution, which commoditized server hardware to support vast numbers of mobile users from a few large, centralized data centers. Today, mobile's next stage of evolution is spurred by interest in emerging technologies such as Augmented and Virtual Reality (AR/VR), the Internet of Things (IoT), and Autonomous Vehicles. New applications relying on these technologies often require very low latency response times, increased bandwidth consumption, and the need to preserve privacy. Meeting all of these requirements from the Cloud alone is challenging for several reasons. First, the amount of data generated by devices can quickly saturate the bandwidth of backhaul links to the Cloud. Second, achieving low-latency responses for making decisions on sensed data becomes increasingly difficult the further mobile devices are from centralized Cloud data centers. And finally, regulatory or privacy restrictions on the data generated by devices may require that such data be kept locally. For these reasons, enabling next-generation technologies requires us to reconsider the current trend of serving applications from the Cloud alone.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"103 6 1","pages":"14 - 19"},"PeriodicalIF":1.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90847120","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}
{"title":"Federated Learning and Control at the Wireless Network Edge","authors":"M. Bennis","doi":"10.1145/3447853.3447857","DOIUrl":"https://doi.org/10.1145/3447853.3447857","url":null,"abstract":"We are at the cusp of two transformational technologies, namely the fifth generation of wireless communication systems, known as 5G, and machine learning (ML). On the one hand, while the evolutionary part of 5G, enhanced mobile broadband (eMBB), focusing mainly on millimeter-wave transmissions has made significant progress, fundamentals of ultra-reliable and low-latency communication (URLLC), one of the major tenets of the 5G revolution, are yet to be fully understood. In essence, URLLC warrants a departure from average-based system design toward a clean slate design centered on tail, risk, and scale [1]. While risk is encountered when dealing with decision making under uncertainty, scale is driven by the sheer amount of devices, antennas, sensors, and actuators, all of which pose unprecedented challenges in network design, optimization, and scalability.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"44 1","pages":"9 - 13"},"PeriodicalIF":1.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86276479","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}
{"title":"Advances and Open Problems in Backscatter Networking","authors":"V. Talla, Joshua R. Smith, Shyamnath Gollakota","doi":"10.1145/3457356.3457367","DOIUrl":"https://doi.org/10.1145/3457356.3457367","url":null,"abstract":"Despite significant research in backscatter communication over the past decade, key technical open problems remain underexplored. Here, we first systematically lay out the design space for backscatter networking and identify applications that make backscatter an attractive communication primitive. We then identify 10 research problems that remain to be solved in backscatter networking. These open problems span across the network stack to include circuits, embedded systems, physical layer, MAC and network protocols as well as applications. We believe that addressing these problems can help deliver on backscatter's promise of low-power ubiquitous connectivity.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"1 1","pages":"32 - 38"},"PeriodicalIF":1.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89202256","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}
Karyn Doke, Qianli Yuan, Mila Gascó-Hernández, Megan Sutherland-Mitzer, José Ramón Gil-García, Petko Bogdanov, M. Zheleva
{"title":"Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access","authors":"Karyn Doke, Qianli Yuan, Mila Gascó-Hernández, Megan Sutherland-Mitzer, José Ramón Gil-García, Petko Bogdanov, M. Zheleva","doi":"10.1145/3427384.3427386","DOIUrl":"https://doi.org/10.1145/3427384.3427386","url":null,"abstract":"Recent disasters have highlighted the gap between existing urbancentric resilience models and the needs of rural communities, which are frequently marginalized. Large rural constituencies, encompassing vast and sparsely populated areas, lack broadband connectivity and rely predominantly on volunteer-based emergency workforce. The above are some of the key factors hampering rural first responders? ability to access, act upon and disseminate emergency-related information. This has an adverse effect on both residents and the agencies that serve them, as it limits residents? ability to prepare for emergencies and compromises the safety of first responders. Furthermore, the unique socio-economic structure of rural areas makes them particularly vulnerable to the effects of incipient or unfolding disasters. Hence, rural communities often develop self-reliance capabilities by creating tightknit social structures and taking charge of their own technological progress through community-driven efforts.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"7 1","pages":"5 - 11"},"PeriodicalIF":1.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73732006","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}
{"title":"2020 ACM SIGMOBILE Rockstar Award","authors":"Nicholas D. Lane","doi":"10.1145/3427384.3427390","DOIUrl":"https://doi.org/10.1145/3427384.3427390","url":null,"abstract":"Nicholas D. Lane will receive the 2020 SIGMOBILE Rockstar Award for his innovative earlycareer contributions toward using machine learning on resource-constrained mobile devices to sense people and sense \"things,\" broadly defined. Nic's early career has been a fascinating blend of academic and industry interests, generating deep insights towards practical mobile systems for machine learning.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"38 1","pages":"17 - 17"},"PeriodicalIF":1.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78597950","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}
K. Nahrstedt, Zhe Yang, Tuo Yu, Patrick Su, Robert Kaufman, Ishan Shan, Steven Konstanty, Mark McCollum, J. Dallesasse
{"title":"Senselet","authors":"K. Nahrstedt, Zhe Yang, Tuo Yu, Patrick Su, Robert Kaufman, Ishan Shan, Steven Konstanty, Mark McCollum, J. Dallesasse","doi":"10.1145/3427384.3427388","DOIUrl":"https://doi.org/10.1145/3427384.3427388","url":null,"abstract":"Semiconductor cleanrooms are used to fabricate devices with feature sizes that can be much smaller than a dust particle. Hence, any environmental deviations in temperature, or humidity around fabrication instruments may become the root cause of hundreds of transistors failing during the manufacturing. Furthermore, researchers work with dangerous chemicals in cleanrooms and violation of safety may lead to disastrous consequences. Therefore, we have developed an affordable, locally-controlled distributed sensing infrastructure, called SENSELET, for academic cleanrooms. It provides highly effective services for environment sensing around scientific instruments, sensory data collection and visualization, indoor localization, and instrument proximity detection for safety of researchers.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"7 1","pages":"12 - 16"},"PeriodicalIF":1.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87823603","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}
H. A. C. Maruri, P. López-Meyer, Jonathan Huang, W. Beltman, L. Nachman, Hong Lu
{"title":"V-Speech","authors":"H. A. C. Maruri, P. López-Meyer, Jonathan Huang, W. Beltman, L. Nachman, Hong Lu","doi":"10.1145/3427384.3427392","DOIUrl":"https://doi.org/10.1145/3427384.3427392","url":null,"abstract":"Smart glasses are often used in noisy public spaces or industrial settings. Voice commands and automatic speech recognition (ASR) are good user interfaces for such a form factor, but the background noise and interfering speakers pose important challenges. Typical signal processing techniques have limitations in performance and/or hardware resources. V-Speech is a novel solution that captures the voice signal with a vibration sensor located in the nasal pads of smart glasses. Although signal-to-noise ratio (SNR) is much higher with vibration sensor capture, it introduces a \"nasal distortion,\" which must be dealt with. The second part of our proposed solution involves a voice transformation of the vibration signal using a neural network to produce an output that mimics the characteristics of a conventional microphone. We evaluated V-Speech in noise-free and very noisy conditions with 30 volunteer speakers uttering 145 phrases each, and validated its performance on ASR engines, with assessments of voice quality using the Perceptual Evaluation of Speech Quality (PESQ) metric, and with subjective listeners to determine intelligibility, naturalness and overall quality. The results show, in extreme noise conditions, a mean improvement of 50% for Word Error Rate (WER), 1.0 on a scale of 5.0 for PESQ, and speech regarded intelligible, with naturalness rated as fair to good. The output of V-Speech has low noise, sounds natural, and enables clear voice communication in challenging environments.","PeriodicalId":29918,"journal":{"name":"GetMobile-Mobile Computing & Communications Review","volume":"710 ","pages":"18 - 24"},"PeriodicalIF":1.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3427384.3427392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72434677","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}