Your browser doesn't support javascript.
loading
A Safe Charging Algorithm Based on Multiple Mobile Chargers.
Wang, Wei; Jing, Haoran; Liao, Junhua; Yin, Feng; Yuan, Ping; Chen, Liangyin.
Afiliação
  • Wang W; School of Computer Science, Sichuan University, Chengdu 610065, China.
  • Jing H; School of Computer Science, Sichuan University, Chengdu 610065, China.
  • Liao J; School of Computer Science, Sichuan University, Chengdu 610065, China.
  • Yin F; School of Computer Science and Technology, Southwest Minzu University, Chengdu 610041, China.
  • Yuan P; School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing 400065, China.
  • Chen L; School of Computer Science, Sichuan University, Chengdu 610065, China.
Sensors (Basel) ; 20(10)2020 May 22.
Article em En | MEDLINE | ID: mdl-32455906
A safe charging algorithm in wireless rechargeable sensor network ensures the charging efficiency and the electromagnetic radiation below the threshold. Compared with the current charging algorithms, the safe charging algorithm is more complicated due to the radiation constraint and the mobility of the chargers. A safe charging algorithm based on multiple mobile chargers is proposed in this paper to charge the sensor nodes with mobile chargers, in order to ensure the premise of radiation safety, multiple mobile chargers can effectively complete the network charging task. Firstly, this algorithm narrows the possible location of the sensor nodes by utilizing the charging time and antenna waveform. Secondly, the performance of non-partition charging algorithm which algorithm allow chargers to charge different sensors sets in a different cycle is evaluated against the one of partition charging which does not allow for charging different ones. The moving distance of the charger node will be reduced by 18%. It not only improves the safety level which is inversely proportional to electromagnetic radiation but also expands the application scope of the wireless sensor nodes.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Suíça