Radio Frequency Energy Harvesting and Data Rate Optimization in Wireless Information and Power Transfer Sensor Networks

Kwan, Jonathan C.; Fapojuwo, Abraham O.

doi:10.1109/jsen.2017.2714130

Cited by 55 publications

(78 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The utilization of multiple IPS is investigated in [36], which considered the optimization of the harvesting of energy and the transmission of information timing schedules of a WPSN system for an on-body application in a dynamic environment. The proportion of the time period earmarked to harvesting for an individual IPS to recharge a sensor node was calculated, which is a function of the movement of the object carrying the sensor nodes.…”

Section: Related Literaturementioning

confidence: 99%

“…Different from [36], equal optimal EH time is provided to the sensor nodes in class A network because of their nearness to the IPS, while a new parameter T EH is introduced to allot different energy harvesting periods to class B sensors based on their distance from the IPS. Based on the new harvesting time period parameter, an optimal shorter time is allotted to the class B sensors that are near to the IPS, while an optimal larger time is allotted to the class B sensors that are far from the IPS in the downlink (DL).…”

Section: Related Literaturementioning

confidence: 99%

See 1 more Smart Citation

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Olatinwo

Joubert

2019

J Wireless Com Network

View full text Add to dashboard Cite

In this paper, a new approach to energy harvesting and data transmission optimization in a heterogeneous-based multi-class and multiple resource wireless transmission wireless sensor network system that focus on monitoring water and its quality is presented. Currently, energy is a scarce resource in wireless sensor networks due to the limited energy budget of batteries, which are typically employed for powering sensors. Once the available energy of a particular sensor node battery is depleted, such sensor node becomes inactive in a network. As a consequence, such node may not be able to participate in the transmission of the application signal in the uplink stage of the network, resulting in a lack of ability to communicate vital signals in a timely manner. Energy scarcity has been a long standing problem in wireless sensor network applications. To address this problem, energy harvesting from intended radiofrequency power source is considered in this work. However, wirelessly powered wireless sensor network systems are confronted by unfairness in resource allocation problem, as well as interference problem in multiple energy resource transmissions. These problems adversely impact the performance of the system in the context of the harvested energy by the sensor nodes, sensors information transmission rates, and the overall system throughput rate. These problems are tackled in this paper by formulating a sum-throughput maximization problem to reduce system energy consumption and enhance the system overall throughput rate. The throughput optimization problem is formulated as a non-convex function. Through the exploitation of the problem structure, it is converted to a convex function. The mathematical models of the optimization problem are validated through numerical simulations. The simulation results reveal that the proposed wireless powered sensor network system outperforms an existing wireless powered sensor network system, by comparison of the numerical simulations of this work to the numerical simulations of the existing WPSN system, regardless of the distances of the sensor nodes to the IPS and the base station. Also, the newly proposed method performs efficiently using parameters that include path-loss exponent impact, performance comparison of systems, convergence based on iteration, comparison based on unequal network distances to the BS, transmission power impact on the attainable throughput and on fraction of energy consumed on information transmissions, and influence of different number of nodes in the network classes.

show abstract

Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Olatinwo

Joubert

2019

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…From Equation 16, the outage probability can be rewritten as From Equation 16, the outage probability can be rewritten as…”

Section: Proof Of Theoremmentioning

confidence: 99%

“…By letting a ¼ η 3 ρ 2 P ap N 0 2 ð1−ρÞ, b ¼ ηρ P ap N 0 , and c ¼ η 2 P ap N 0 ρð1−ρÞ, the SNR values in Equations 14 and 15 now become SNR R = cXY 2 and SNR AP = bX 2 . From Equation 16, the outage probability can be rewritten as…”

Section: Proof Of Theoremmentioning

confidence: 99%

“…Recently, the using of multiple intended radio frequency (RF) sources with a harvest-then-transmit protocol to maximize the harvested energy and optimize data rate in wireless information and power transfer sensor networks has been introduced in Kwan and Fapojuwo. 16 While the works presented in Zhang et al 15 and Kwan and Fapojuwo 16 focused on the practical implementation of energy-harvested sensor nodes, several attempt to enhance the energy efficiency by using relay nodes and to combine energy harvesting with the information transfer process. 17,18 Do 17 provided a performance analysis of 2-way relay networks with energy harvesting at the relay in imperfect hardware condition.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power splitting–based energy‐harvesting protocol for wireless‐powered communication networks with a bidirectional relay

Nguyen

Tran

Vozňák

2018

Int J Communication

View full text Add to dashboard Cite

In this paper, we apply the power splitting-based energy-harvesting protocol to enhance the transmission between a wireless access point and a mobile user via a helping relay. The mobile user exploits the energy supplied by the access point and forwarded by the relay to transmit its own data back to the access point, again with the helping of the relay. Here, the effect of various system parameters, including power-splitting factor and the power-to-noise ratio on the system performance, is rigorously studied, with closed-form expressions for the outage probability and system throughput as the results. Furthermore, we figure out the optimal power-splitting ratio at which the information throughput from the user to the AP is maximized, subject to the constraint on the transmitting power at the access point. All above analytical results are also supported by Monte Carlo simulation.KEYWORDS amplify and forward, bidirectional relay, decode and forward, energy harvesting, power splitting

show abstract

Bibliography

2021

Wireless RF Energy Transfer in the Massive IoT Era

View full text Add to dashboard Cite

Radio Frequency Energy Harvesting and Data Rate Optimization in Wireless Information and Power Transfer Sensor Networks

Cited by 55 publications

References 21 publications

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Efficient energy resource utilization in a wireless sensor system for monitoring water quality

Power splitting–based energy‐harvesting protocol for wireless‐powered communication networks with a bidirectional relay

Bibliography

Contact Info

Product

Resources

About