Directional mobile charging method for mine Internet of things

The nodes of the mine Internet of things (MIoT) are powered by batteries, for which the wireless charging is essential for their continuous and stable operation. This study proposed a method of directional mobile charging for the MIoT based on smart antenna, in which the mobile chargers charge the nodes need power not only when stationary, but also when moving. The theoretical calculation method of the charged energy is studied and established its approximate calculation algorithm, which can greatly reduce the computational complexity, based on the discretised model of effective charging distance of smart antenna. Then, the method for estimating the residual energy of the nodes was designed, and the upper bound of the transmitting power of the mobile charger was determined. The results of the simulation experiments indicated that this method has high charging efficiency and can meet the power demand of MIoT nodes.

[1]  Long Tang,et al.  Instantaneous Real-Time Kinematic Decimeter-Level Positioning with BeiDou Triple-Frequency Signals over Medium Baselines , 2015, Sensors.

[2]  Mesud Hadzialic,et al.  Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues , 2018, Comput. Networks.

[3]  Guihai Chen,et al.  Wireless Charger Placement for Directional Charging , 2018, IEEE/ACM Transactions on Networking.

[4]  Kai Wang,et al.  A dynamic information platform for underground coal mine safety based on internet of things , 2019, Safety Science.

[5]  Abhinav Tomar,et al.  An efficient scheduling scheme for mobile charger in on-demand wireless rechargeable sensor networks , 2018, J. Netw. Comput. Appl..

[6]  Cong Wang,et al.  A Mobile Data Gathering Framework for Wireless Rechargeable Sensor Networks with Vehicle Movement Costs and Capacity Constraints , 2016, IEEE Transactions on Computers.

[7]  Jiming Chen,et al.  Optimal Charging in Wireless Rechargeable Sensor Networks , 2016, IEEE Transactions on Vehicular Technology.

[8]  Jiming Chen,et al.  Energy Provisioning in Wireless Rechargeable Sensor Networks , 2013, IEEE Trans. Mob. Comput..

[9]  Bamidele Adebisi,et al.  Comparative Analysis of P2P Architectures for Energy Trading and Sharing , 2017 .

[10]  Lalatendu Muduli,et al.  Application of wireless sensor network for environmental monitoring in underground coal mines: A systematic review , 2017, J. Netw. Comput. Appl..

[11]  Yacine Challal,et al.  Energy efficiency in wireless sensor networks: A top-down survey , 2014, Comput. Networks.

[12]  Jinjun Chen,et al.  Speed control of mobile chargers serving wireless rechargeable networks , 2018, Future Gener. Comput. Syst..

[13]  Wei Zhang,et al.  A Unified Framework for Street-View Panorama Stitching , 2016, Sensors.

[14]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[15]  Guangjie Han,et al.  A grid-based joint routing and charging algorithm for industrial wireless rechargeable sensor networks , 2016, Comput. Networks.

[16]  Mohammad S. Obaidat,et al.  TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks , 2018, IEEE Transactions on Mobile Computing.

[17]  Manuel Díaz,et al.  State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing , 2016, J. Netw. Comput. Appl..

[18]  Fotis Foukalas,et al.  Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems , 2018, Sensors.