Deployment strategy for wireless chargers
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Existing literature addresses the deployment strategies for wireless chargers in four different scenarios:
(1) Point configuration addresses the deployment of static chargers to support static devices with wireless power, such as Chiu [6] et al. minimizing the number of chargers, using two centralized greedy algorithms through theoretical analysis and numerical simulation to address the network charging coverage requirements;
(2) Path configuration aims to deploy static chargers along the travel paths of mobile devices to charge them (e.g., for wearable or implantable sensors), such as Liao [7] et al. maximizing the survival rate, using a centralized heuristic greedy algorithm through theoretical analysis and system-level simulation to address the limitation on the number of chargers;
(3) Multi-hop configuration determines the placement of static chargers in a static network where devices can also have wireless power transmission capabilities and share power with each other, such as Rault [8] et al. minimizing the number of chargers, using a centralized scheme based on hybrid ILP through numerical simulation to address network coverage requirements and the limitation on maximizing the number of power transmission paths;
(4) Landmark configuration involves two steps: selecting landmarks for mobile chargers to visit in turn and clustering landmarks as groups to deploy mobile chargers. The location of the landmark is where the parked charger provides concurrent charging for multiple static devices in the vicinity. For example, Erol-Kantarci et al. [9] minimized the landmark configuration and maximized the energy transmitted to high-priority nodes. They solved the problems of the need for all energy replenishment and the limited capacity of the charger, as well as the problems of maximizing the number of landmarks, limited transmission range, and power demand of high-priority nodes and limited capacity of the charger, respectively, using a centralized scheme based on ILP through numerical simulation.
(5) Hybrid configuration combines the convenience of wireless charging and the efficiency of wired charging to form a hybrid charging strategy in specific operating scenarios. For example, when the Tesla Cybercab prototype is performing ride-hailing tasks, it can use wireless charging to quickly replenish energy during short stops; while when the vehicle returns to the center for cleaning or deep maintenance, it is more ideal to use a wired supercharger.







