Abstract
Wireless power transfer techniques to transfer energy have been widely adopted by wireless rechargeable sensor networks (WRSNs). These techniques are aimed at increasing network lifetime by transferring power to end devices. Under these wireless techniques, the incurred charging latency to replenish the sensor nodes is considered as one of the major issues in wireless sensor networks (WSNs). Existing recharging schemes rely on rigid recharging schedules to recharge a WSN deployment using a single global charger. Although these schemes charge devices, they are not on-demand and incur higher charging latency affecting the lifetime of a WSN. This paper proposes a collaborative recharging technique to offload recharging workload to local chargers. Experiment results reveal that the proposed scheme maximizes average network lifetime and has better average charging throughput and charging latency compared to a global charger-based recharging.
Highlights
A wireless sensor networks (WSNs) is a network of hundreds of sensor devices deployed randomly in an area
The main contributions of the paper are summarized as follows: (i) The paper proposes a charger deployment model to accelerate the recharging of sensor nodes deployed in different regions (ii) Based on the charger deployment model, we propose an on-demand recharging protocol called as zoning and collaborative charging scheduling (ZCCS)
Compared to the existing recharging scheduling techniques, NaZCCS operates in an on-demand manner and requires an exchange of different control packets which are exchanged between the sensor and local charger and global chargers
Summary
A WSN is a network of hundreds of sensor devices deployed randomly in an area. Under most deployments, these sensor nodes are autonomous and are small. Few energy harvesting techniques have been proposed to replenish a sensor’s battery to prolong the network lifetime. A multisink scenario with varying charging demands may result in this situation In this situation, when a sink node places a charging request to a BS, the BS may be already busy transferring the power to another sink. (i) The paper proposes a charger deployment model to accelerate the recharging of sensor nodes deployed in different regions (ii) Based on the charger deployment model, we propose an on-demand recharging protocol called as ZCCS (iii) The work performs various simulations to establish the better charging percentage and charging latency of ZCCS against NaZCCS (global charger-based) under various network densities.
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
