{'fraction_non_alphanumeric': 0.01407035175879397, 'fraction_numerical': 0.0, 'mean_word_length': 5.110429447852761, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Charger mobility scheduling and modeling in wireless rechargeable sensor networks

The emerging wireless energy transfer technology based on Radio Frequency (RF) is a promising technology for wireless rechargeable sensor networks (WRSN) as it can charge sensor nodes simultaneously. In this paper, we use a mobile charger to stay at some locations and stay for certain time at each location to charge all the nodes in the network. We first define a power-charging function for the whole network and then get a set of candidate stop locations for the mobile charger by analyzing the property of this function. After the set of candidate locations are determined, we formulate two optimization problems: one is to minimize total charging time and another is to maximize the charging efficiency, subject to a charged energy threshold at each sensor node. Simulation results show that our method for choosing stop locations can greatly reduce the total charging time and improve charging efficiency.