scholarly journals Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Azka Amin ◽  
Xi-Hua Liu ◽  
Muhammad Asim Saleem ◽  
Shagufta Henna ◽  
Taseer-ul Islam ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Network Lifetime ◽  
Wireless Power Transfer ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Power Transfer ◽  
Wireless Power ◽  
Transfer Energy ◽  
On Demand ◽  
Wireless Rechargeable Sensor Networks

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.

scholarly journals Scheduled Optimal SDWSN Using Wireless Transfer of Power

2020 ◽  
Vol 2 (1) ◽  
pp. 23-32
Author(s):  
Dr. Anand C
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Minimum Energy ◽  
Wireless Power Transfer ◽  
Maximum Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Power Transfer ◽  
Wireless Power ◽  
Transfer Energy

Energy scarcity is one of the biggest threats faced by today’s society because of the increasing demand for Wireless Sensor Networks. Wireless power transfer is one of the merging solutions that promise to address this energy scarcity and replenish the sensor nodes. In this method, dedicated energy transmitters are used to transfer energy to the sensor nodes. Moreover, Software-defined Wireless Sensor Networks (SDWSNs) have been proposed recently and are defined such that they are used to utilize the WSN resources to its maximum potential. The proposed methodology proposes a Wireless power transfer using SDWSN. We have designed a method to find the minimum energy transmitters by placing the energy transmitters in the node. A trade-off is made between fair distribution of energy and maximum energy charged in the network to place the energy transmitters. The proposed mechanism is defines a utility function in order to increase fairness and total energy charged. The goal is to decrease the energy consumed by the transmitters while retaining the charge of the sensor nodes. The simulation results illustrate the optimum efficiency of the proposed methodology with respect to energy consumption, number of tasks, number of energy transmitters, fairness and energy charged.

scholarly journals The Augmented Approach towards Equilibrated Nexus Era into the Wireless Rechargeable Sensor Network

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 639 ◽  
Author(s):  
Ahmad Ali ◽  
Yu Ming ◽  
Sagnik Chakraborty ◽  
Saima Iram ◽  
Tapas Si
Keyword(s):  
Sensor Network ◽  
Network Lifetime ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Wireless Power Transfer ◽  
Sensor Nodes ◽  
Wireless Charging ◽  
Power Transfer ◽  
Wireless Power ◽  
Wireless Rechargeable Sensor Network

Present research in the domain of wireless sensor network (WSN) has unearthed that energy restraint of sensor nodes (SNs) encumbers their perpetual performance. Of late, the encroachment in the vicinity of wireless power transfer (WPT) technology has achieved pervasive consideration from both industry and academia to cater the sensor nodes (SNs) letdown in the wireless rechargeable sensor network (WRSNs). The fundamental notion of wireless power transfer is to replenish the energy of sensor nodes using a single or multiple wireless charging devices (WCDs). Herein, we present a jointly optimization model to maximize the charging efficiency and routing restraint of the wireless charging device (WCD). At the outset, we intend an unswerving charging path algorithm to compute the charging path of the wireless charging device. Moreover, Particle swarm optimization (PSO) algorithm has designed with the aid of a virtual clustering technique during the routing process to equilibrate the network lifetime. Herein clustering algorithm, the enduring energy of the sensor nodes is an indispensable parameter meant for the assortment of cluster head (CH). Furthermore, compare the proposed approach to corroborate its pre-eminence over the benchmark algorithm in diverse scenarios. The simulation results divulge that the proposed work is enhanced concerning the network lifetime, charging performance and the enduring energy of the sensor nodes.

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