Desynchronization is a novel primitive for sensor networks: it implies that nodes perfectly interleave periodic events to occur in a round-robin schedule. This primitive can be used to evenly distribute sampling burden in a group of nodes, schedule sleep cycles, or organize a collision-free TDMA schedule for transmitting wireless messages. Here we present Desync, a biologically-inspired self-maintaining algorithm for desynchronization in a single-hop network. We present (1) theoretical results proving convergence and bounding convergence rates, (2) experimental results on TinyOS-based Telos sensor motes, and (3) a Desync-based TDMA protocol. Desync-TDMA addresses two weaknesses of traditional TDMA: it does not require a global clock and it automatically adjusts to the number of participating nodes, so that bandwidth is always fully utilized. Experimental results show a reduction in message loss under high contention from approximately 58% to less than 1%, as well as a 25% increase in throughput over the default Telos MAC protocol.
Smartphones are now commonly used, for virtual outpatient consultations, to help reduce disease transmission during the COVID-19 pandemic. Nosocomial spread of COVID 19 and hospital acquired infections are usually from staff or students to patients. Reducing non- essential staff numbers on ward rounds may reduce the risk.We describe the novel use of smartphones, with Microsoft Teams, to live stream inpatient interactions, radiological images, pathology results, charts and patient review between an office-based and ward team (virtual ward round) and for teaching medical students in secondary care. After Research and Ethics, Digital services and Information Governance approval we compared a smartphone and head-worn device (Realwear HMT-1). Data collection was by participant questionnaire. Statistical analysis was performed using the Mann – Whitney test.There was no statistically significant difference in audio and video feed quality between the smart phone (p value = 0.3) and Realwear device (p value = 0.41). However the smartphone was preferred during ward rounds and was 85% cheaper than the Realwear device. Urology medical staff numbers on the ward were reduced by 50%. Ward round efficiency improved as administrative tasks could be performed by the office team during the virtual ward round.Virtual ward rounds using smartphones can facilitate remote communication between staff, students and patients. Staff in isolation or shielding can also assist front line colleagues from home. Smarter use of the smart phone may help reduce staff numbers on wards and reduce the number COVID-19 and nosocomial infections, potentially reducing morbidity and mortality locally and globally.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.