Deployment Strategy Of Wireless Charger

The existing literature solves the deployment strategy of wireless chargers in four different scenarios:

(1) Point configuration deals with the deployment of static chargers to support static devices with wireless energy. For example, Chiu minimizes the number of chargers, and uses two centralized greedy algorithms to solve network charging coverage through theoretical analysis and numerical simulation. Demand

(2) The goal of path configuration is to deploy static chargers in the travel path of mobile devices to charge mobile devices (such as wearable or implantable sensors for humans), such as Liao [8] and others to maximize survival rate, Through theoretical analysis and system-level simulation, a centralized heuristic greedy algorithm is used to solve the limitation of the number of chargers;

(3) The multi-hop configuration determines the location of the static charger in the static network. The devices can also have wireless energy transmission and can share energy with each other. For example, Rault, etc., minimize the number of chargers, and use the hybrid based on numerical simulation methods. ILP's centralized solution solves the network coverage requirements and maximizes the limitation of the number of energy transmission channels;

(4) Landmark configuration involves two steps: choosing landmarks for mobile chargers to visit in turn and clustering landmarks as a group to deploy mobile chargers. The location of the landmark is that the parked charger is nearby to provide concurrent charging for multiple static devices. For example, Erol-Kantarci minimizes the landmark configuration and maximizes the energy transmitted to the high-priority nodes. Both are used by numerical simulation methods. The centralized solution based on ILP solves the problems of the need for full energy supplementation and the limited capacity of the charger, as well as maximizing the number of landmarks, the power demand of nodes with limited transmission range and high priority, and the capacity of the charger. The problem of limitation.