Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots

Drone-based dynamic model and control techniques vary from classical linear proportional integral derivative (CPID) to complex nonlinear multiconstrained and multi-objective schemes such as backstepping, sliding window mode, size-based models, and operation-based models, among others These approaches can be classified as per their usage Thus, some will be efficient for indoor operations, and others will be useful for outdoor operations The performance of both types of drone-based smart healthcare systems can be measured in terms of stabilizing the attitude for both indoor and outdoor operations as per requirements Further, gain-based drone scheduling is commonly used in flight controllers In COVID-19 pandemic situations, the gains can be measured using an alternative way Here, different parameters like medication advantage to COVID-19 pandemic areas, identifying the COVID-19 hotspots, sanitizing requirements and potentials, finding the COVID-19 chain, etc , could be considered in gain measurement for the deployment of drone-based COVID-19’s smart healthcare This work proposes a multi-constraint and multi-objective gain-based simulation-optimization approach for scheduling the linear and nonlinear dynamic and controllable drone movement models The proposed model considered the identity-based lower and upper limits of control interface Further, this interface is having the provision to include some human factors in its execution The performance of the overall system is measured using performance and security metrics In performance, drone-based smart healthcare systems’ efficiency, accuracy, and effectiveness are measured The measurements are analyzed by varying optimization parameters In the security, lightweight cryptography primitives and protocols are analyzed for performance measurements These lightweight cryptography primitives and protocols ensure secure data storage, transmission, and processing at any device Further, the scope of centralized and distributed systems of drone cooperations for COVID-19 monitoring, sanitization, cleaning, and control room will be explored to have time-saving and autonomous drone-based smart healthcare systems © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG