Abstract
The energy of the sensor node (SNs) is always an important factor restricting its long-term stable operation. In order to ensure that the sensor node has a stable energy supply and prolong its working life, a charging scheduling algorithm based on the entropy weight method is proposed to reasonably schedule the wireless charging vehicle (WCV) and improve charging effectiveness. In the proposed algorithm, the concept of node network attributes is first proposed, and the entropy weight method evaluation model is introduced, and then the entropy weight method is used to comprehensively evaluate the network attributes of the nodes, and the scores of each node after the evaluation are arranged in descending order to obtain the charging plan. WCV carries multiple detachable charging devices to charge the nodes according to the charging plan. Finally, the proposed algorithm is simulated, and the result shows that the proposed algorithm is significantly higher than the existing FCFS and NJNP algorithms in terms of charging delay and node survival rate.
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