Abstract
Recently, Wireless Rechargeable Sensor Networks (WRSNs) have been attracting increasing attention and seen rapid development. However, in previous studies, pioneering work on charging issues and data gathering strategies are always discussed separately. In this paper, we aimed to develop a strategy which can guarantee a short data acquisition cycle and high charging efficiency. We used a new Combined Recharging and Collecting Data Model (CRCM) to set-up a WRSN. In this network, mobile chargers were used to separately collected data and charge sensor nodes. A K-means algorithm was used to group sensor nodes into different clusters, from which mobile chargers collected data from sensor nodes in the center of these clusters. The Nearest-Job-Next with Preemption (NJNP) algorithm was used to determine the charging route. The data acquisition cycle was first discussed in this model in order to ensure all data from the sensor nodes could be gathered within a certain time period. Additionally, the Periodically Restricted Dynamic Mobile Chargers (PRDMCs) algorithm was proposed to determine the number of mobile chargers. Lastly, we used the normal CRCM for comparison with our new CRCM, and the results showed that the new CRCM can effectively safeguard the data acquisition cycle without requiring the addition of more mobile chargers.
Highlights
A Wireless Rechargeable Sensor Network (WRSN) is a network composed of numerous sensors in a region, where sensor nodes are positioned randomly to perceive and monitor the surrounding environment [1,2]
In WRSNs, unlike Wireless Sensor Networks (WSNs), the battery in each sensor node can be recharged, and one or several mobile chargers are dispatched to charge all sensor nodes when the battery energy is below the threshold
The mobile chargers only moved to the sensor nodes for energy charging and finished the task of data gathering at the centers of the clusters; As the charging queue was calculated completely, we proposed the Periodically Restricted
Summary
A Wireless Rechargeable Sensor Network (WRSN) is a network composed of numerous sensors in a region, where sensor nodes are positioned randomly to perceive and monitor the surrounding environment [1,2]. Once a sensor node’s residual energy is below the threshold, it will send a charging request to the sink which commands the mobile chargers to move to the sensor node by calculating the reasonable charging path This on-demand charging strategy greatly enhances the service efficiency of the mobile chargers. The data collection cycle is very long, all sensor nodes can run for a long time This is due to the fact that the energy consumption of sensor nodes is sharply reduced by short-distance communication, and the arrival of the mobile charger is not within a fixed sampling period. The mobile chargers only moved to the sensor nodes for energy charging and finished the task of data gathering at the centers of the clusters; As the charging queue was calculated completely, we proposed the Periodically Restricted. The results suggest that by increasing the number of mobile chargers, the length of the data acquisition cycle can be guaranteed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
