Probability of Packet Loss in Energy Harvesting Nodes with Cognitive Radio Capabilities

Shanai Wu; Yoan Shin; Jin Young Kim; Dong In Kim

doi:10.1109/LCOMM.2016.2539158

Probability of Packet Loss in Energy Harvesting Nodes with Cognitive Radio Capabilities

Shanai Wu
, Yoan Shin
, Jin Young Kim
, Dong In Kim

Department of Electronic and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

A Markovian battery model for energy harvesting (EH) secondary users (SUs) is proposed to derive the probability of packet loss due to sensing inaccuracy and energy outage in the EH cognitive radio network (CRN). With the proposed analysis, the packet loss probability can easily be predicted and utilized to optimize the transmission policy (i.e., opportunities for successful transmission and EH) of EH SUs to improve their throughput. Especially, the proposed method can be applied to upper layer (scheduling and routing) optimization. To this end, we validate the proposed analysis through Monte-Carlo simulation and show an agreement between the analysis and simulation results.

Original language	English
Article number	7426771
Pages (from-to)	978-981
Number of pages	4
Journal	IEEE Communications Letters
Volume	20
Issue number	5
DOIs	https://doi.org/10.1109/LCOMM.2016.2539158
State	Published - May 2016

Keywords

cognitive radio
Energy harvesting
energy outage
packet loss
sensing inaccuracy

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10.1109/LCOMM.2016.2539158

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title = "Probability of Packet Loss in Energy Harvesting Nodes with Cognitive Radio Capabilities",

abstract = "A Markovian battery model for energy harvesting (EH) secondary users (SUs) is proposed to derive the probability of packet loss due to sensing inaccuracy and energy outage in the EH cognitive radio network (CRN). With the proposed analysis, the packet loss probability can easily be predicted and utilized to optimize the transmission policy (i.e., opportunities for successful transmission and EH) of EH SUs to improve their throughput. Especially, the proposed method can be applied to upper layer (scheduling and routing) optimization. To this end, we validate the proposed analysis through Monte-Carlo simulation and show an agreement between the analysis and simulation results.",

keywords = "cognitive radio, Energy harvesting, energy outage, packet loss, sensing inaccuracy",

author = "Shanai Wu and Yoan Shin and Kim, \{Jin Young\} and Kim, \{Dong In\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

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AU - Wu, Shanai

AU - Shin, Yoan

AU - Kim, Jin Young

AU - Kim, Dong In

PY - 2016/5

Y1 - 2016/5

N2 - A Markovian battery model for energy harvesting (EH) secondary users (SUs) is proposed to derive the probability of packet loss due to sensing inaccuracy and energy outage in the EH cognitive radio network (CRN). With the proposed analysis, the packet loss probability can easily be predicted and utilized to optimize the transmission policy (i.e., opportunities for successful transmission and EH) of EH SUs to improve their throughput. Especially, the proposed method can be applied to upper layer (scheduling and routing) optimization. To this end, we validate the proposed analysis through Monte-Carlo simulation and show an agreement between the analysis and simulation results.

AB - A Markovian battery model for energy harvesting (EH) secondary users (SUs) is proposed to derive the probability of packet loss due to sensing inaccuracy and energy outage in the EH cognitive radio network (CRN). With the proposed analysis, the packet loss probability can easily be predicted and utilized to optimize the transmission policy (i.e., opportunities for successful transmission and EH) of EH SUs to improve their throughput. Especially, the proposed method can be applied to upper layer (scheduling and routing) optimization. To this end, we validate the proposed analysis through Monte-Carlo simulation and show an agreement between the analysis and simulation results.

KW - cognitive radio

KW - Energy harvesting

KW - energy outage

KW - packet loss

KW - sensing inaccuracy

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SP - 978

EP - 981

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 5

M1 - 7426771

ER -

Probability of Packet Loss in Energy Harvesting Nodes with Cognitive Radio Capabilities

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