Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/589433
Title: Optimal Transmission Policies for Two-User Energy Harvesting Device Networks With Limited State-of-Charge Knowledge
Authors: Davide Del Testa;Nicolò Michelusi;Michele Zorzi
subject: renewable energy sources|Markov decision processes|wireless sensor networks|Energy harvesting
Year: 2016
Publisher: IEEE
Abstract: This paper considers a wireless network composed of a pair of sensors powered by energy harvesting devices (EHDs), which transmit data to a receiver over a shared wireless channel. At any given time, based on the energy levels of the two rechargeable batteries of the sensors, a central controller (CC) decides on the amount of energy to be drawn from the two batteries and used for transmission. The problem considered is the maximization of the long-term average reward associated with data transmission, by optimizing the transmission strategy of the two nodes, in the case of a collision channel model and both i.i.d. and correlated energy arrivals. In addition, contrary to the traditional assumption that the amount of energy available to the sensors can be easily estimated, we derive the optimal policy in the cases where the state of charge (SOC) may not be perfectly known by the central controller, analyzing the performance degradation caused by this imperfect knowledge of the SOC. For this second scenario, supposing that the CC is only aware that each SOC is “LOW” or “HIGH,” we show that the impact of imperfect knowledge decreases with the two battery capacities and is negligible in most cases of practical interest.
Description: 
URI: http://localhost/handle/Hannan/154780
http://localhost/handle/Hannan/589433
ISSN: 1536-1276
volume: 15
issue: 2
Appears in Collections:2016

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Title: Optimal Transmission Policies for Two-User Energy Harvesting Device Networks With Limited State-of-Charge Knowledge
Authors: Davide Del Testa;Nicolò Michelusi;Michele Zorzi
subject: renewable energy sources|Markov decision processes|wireless sensor networks|Energy harvesting
Year: 2016
Publisher: IEEE
Abstract: This paper considers a wireless network composed of a pair of sensors powered by energy harvesting devices (EHDs), which transmit data to a receiver over a shared wireless channel. At any given time, based on the energy levels of the two rechargeable batteries of the sensors, a central controller (CC) decides on the amount of energy to be drawn from the two batteries and used for transmission. The problem considered is the maximization of the long-term average reward associated with data transmission, by optimizing the transmission strategy of the two nodes, in the case of a collision channel model and both i.i.d. and correlated energy arrivals. In addition, contrary to the traditional assumption that the amount of energy available to the sensors can be easily estimated, we derive the optimal policy in the cases where the state of charge (SOC) may not be perfectly known by the central controller, analyzing the performance degradation caused by this imperfect knowledge of the SOC. For this second scenario, supposing that the CC is only aware that each SOC is “LOW” or “HIGH,” we show that the impact of imperfect knowledge decreases with the two battery capacities and is negligible in most cases of practical interest.
Description: 
URI: http://localhost/handle/Hannan/154780
http://localhost/handle/Hannan/589433
ISSN: 1536-1276
volume: 15
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7296672.pdf1.08 MBAdobe PDFThumbnail
Preview File
Title: Optimal Transmission Policies for Two-User Energy Harvesting Device Networks With Limited State-of-Charge Knowledge
Authors: Davide Del Testa;Nicolò Michelusi;Michele Zorzi
subject: renewable energy sources|Markov decision processes|wireless sensor networks|Energy harvesting
Year: 2016
Publisher: IEEE
Abstract: This paper considers a wireless network composed of a pair of sensors powered by energy harvesting devices (EHDs), which transmit data to a receiver over a shared wireless channel. At any given time, based on the energy levels of the two rechargeable batteries of the sensors, a central controller (CC) decides on the amount of energy to be drawn from the two batteries and used for transmission. The problem considered is the maximization of the long-term average reward associated with data transmission, by optimizing the transmission strategy of the two nodes, in the case of a collision channel model and both i.i.d. and correlated energy arrivals. In addition, contrary to the traditional assumption that the amount of energy available to the sensors can be easily estimated, we derive the optimal policy in the cases where the state of charge (SOC) may not be perfectly known by the central controller, analyzing the performance degradation caused by this imperfect knowledge of the SOC. For this second scenario, supposing that the CC is only aware that each SOC is “LOW” or “HIGH,” we show that the impact of imperfect knowledge decreases with the two battery capacities and is negligible in most cases of practical interest.
Description: 
URI: http://localhost/handle/Hannan/154780
http://localhost/handle/Hannan/589433
ISSN: 1536-1276
volume: 15
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7296672.pdf1.08 MBAdobe PDFThumbnail
Preview File