Abstract
It is important to monitor the early screening of chronic diseases, predict the risk, and provide the comprehensive management of chronic diseases for the elderly. However, it is difficult to provide the robust and real-time emergency service for elderly chronic disease because of the complex social network and diversity of elderly chronic disease service. To address these issues, we design a new drone assisted robust emergency service system. We formulate the Drone assisted Management (DM) problem to minimize the total time cost of drone subject to all elderly chronic disease services which can be guaranteed exactly once by the drone under its energy constraint. Then, we propose the DRS algorithm to solve the DM problem. To provide the robust and real-time service, we further formulate the Charging driven Drone assisted Management (CDM) problem and present the CDRS algorithm to solve the CDM problem. Through the theoretical analysis and numerical simulation experiments, we demonstrate that DRS and CDRS can decrease the total time cost by 37.61% and increase the QoE by 112.80% through the designed system, respectively.
Highlights
Introduction e HelpAgeInternational has released the report of the global aging business observation index 2015 [1]
(iv) We conduct extensive simulations for the designed system and proposed algorithms. e results show that the Drone assisted Robust emergency Service (DRS) algorithm and Charging driven Drone assisted Robust emergency Service (CDRS) algorithm can decrease the total time cost by 37.61% and increase the Quality of Experience (QoE) by 112.80% through the designed system, respectively
We evaluate the total time cost of drone and QoE calculated by the ratio of waiting time to request time
Summary
Let T be the tour of drone and let β be the energy consumption of drone providing service for the elderly chronic disease. Let Ci be the residual energy of drone after passing through the edge e and completing the i-th elderly chronic disease service. We define the service utility of the i-th elderly chronic disease service as function f(oi) listed as follows:. E objective of CDM is to design a drone tour starting from d0 to provide the chronic disease emergency service for the elderly exactly once to maximize the service utility under the energy constraint of drone. Constraint (d) ensures that the sum of flying energy consumption of drone and providing the corresponding elderly chronic disease service is not larger than the residual energy of drone after visiting oi.
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