Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme

In addition to the stationary mobile edge computing (MEC) servers, a few MEC surrogates that possess a certain mobility and computation capacity, e.g., flying unmanned aerial vehicles (UAVs) and private vehicles, have risen as powerful counterparts for service provision. In this article, we design a two-stage online scheduling scheme, targeting computation offloading in a UAV-assisted MEC system. On our stage-one formulation, an online scheduling framework is proposed for dynamic adjustment of mobile users' CPU frequency and their transmission power, aiming at producing a socially beneficial solution to users. But the major impediment during our investigation lies in that users might not unconditionally follow the scheduling decision released by servers as a result of their individual rationality. In this regard, we formulate each step of online scheduling on stage one into a non-cooperative game with potential competition over the limited radio resource. As a solution, a centralized online scheduling algorithm, called ONCCO, is proposed, which significantly promotes social benefit on the basis of the users' individual rationality. On our stage-two formulation, we are working towards the optimization of UAV computation resource provision, aiming at minimizing the energy consumption of UAVs during such a process, and correspondingly, another algorithm, called WS-UAV, is given as a solution. Finally, extensive experiments via numerical simulation are conducted for an evaluation purpose, by which we show that our proposed algorithms achieve satisfying performance enhancement in terms of energy conservation and sustainable service provision.

A Nudge for Health: Using Behavioral Economics to Increase Online Scheduling and Health Maintenance Completion (Preprint)

BACKGROUND Behavioral economics has been an increasingly utilized method in healthcare to “nudge” behavior change through the use of techniques such as choice architecture and framing of words. Patient portals are a key tool for facilitating patient engagement in their health, and deployment of interventions via patient portals have been effective in improving utilization of preventive health services. Our integrated healthcare system was one of the first to employ behavioral economics in health maintenance reminder (HMR) messages sent through the online patient portal to improve patient engagement and preventive service use. OBJECTIVE We examined the impacts of behavioral economics-based nudge HMRs on online scheduling uptake and appointment completion for two preventive services, Medicare wellness visits (MWV) and pap smears. METHODS This was a retrospective observational study using electronic health record data from an integrated healthcare system in Northern California. Nudge HMRs with behavioral economics-based language were implemented in November 2017 to all sites for MWV and selected sites in February 2018 for pap smears. We analyzed 125,369 HMRs for MWV, and 585,358 HMRs for pap smears sent between January 2017 and February 2020. The primary outcomes were online scheduling and appointment completion. The predictor was the receipt of a nudge HMR. We used segmented regression with interrupted time series design to assess the immediate and gradual effect of the nudge for MWV. For Pap smear, we used logistic regression models to assess the association of the nudge HMR on study outcomes, adjusting for the propensity to receive a nudge HMR. RESULTS Rates of online scheduling were higher for nudge HMRs recipients than control HMRs (13.0% nudge vs. 9.7% control for MWV; 1.4% nudge vs. 0.6% control for pap smears; p<0.001 for all comparisons). Rates of appointment completion were higher in nudge HMRs for pap smears (21.4% nudge vs. 15.3% control, p<0.001) but comparable for MWV between the two groups (51.5% nudge vs. 51.8% control, p=0.30). Regression results suggest a marginally gradual effect of nudge on online scheduling for the overall MWV sample (at a monthly rate of 0.26%, p=0.09), and a significant gradual effect among scheduled appointments (at a monthly rate of 0.46%, p=0.04). For pap smears, nudge HMRs were positively associated with online scheduling (propensity adjusted odds ratio [OR] 1.68; 95% confidence interval [CI] 1.50–1.88 overall sample; propensity adjusted OR 1.65 [1.45–1.87] among scheduled appointments) and appointment completion (propensity adjusted OR 1.07 [1.04–1.10]). CONCLUSIONS Nudge for health, a behavioral economics-based approach to providing HMRs, improves patient online scheduling for Medicare wellness visits and pap smears. Our study demonstrates that a simple approach of framing and modifying language in an electronic message can have a significant and long-term impact on patient engagement and access to care. CLINICALTRIAL No