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Markov fluid queue model for rechargeable sensor nodes with abnormal death

Markov fluid queue model for rechargeable sensor nodes with abnormal death
Markov fluid queue model for rechargeable sensor nodes with abnormal death

The rechargeable sensor network is promising for various applications. However, improving network performance is challenging, because the energy depletion of the sensor nodes will result in abnormal death of the nodes. In this paper, we propose a hybrid framework to model the abnormal death of the sensor nodes. Based on the Markov fluid queue theory, the model includes three parts, namely utilizing a Markov process to simulate the charging behavior, a queuing model to trace the working mechanism of rechargeable sensor nodes, and a continuous fluid process to indicate the energy level of sensor nodes. The numerical results show that our model can effectively predict the probability of abnormal death and stationary energy consumption of the sensor nodes.

Abnormal death, Markov fluid queue, Stationary energy consumption, Wireless rechargeable sensor network
801-806
Institute of Electrical and Electronics Engineers Inc.
Zhong, Ping
fbe3680c-9259-4868-80f6-33d810f1c646
Zhang, Yiwen
8b80663b-850f-41a8-a8b7-435acd79334b
Gao, Jianliang
84cfd2ed-c48c-4d9f-9e7c-49afc7cc6e4d
Zhang, Yiming
2cb04c53-2bb8-4482-9c6a-88b55533b41a
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Zhong, Ping
fbe3680c-9259-4868-80f6-33d810f1c646
Zhang, Yiwen
8b80663b-850f-41a8-a8b7-435acd79334b
Gao, Jianliang
84cfd2ed-c48c-4d9f-9e7c-49afc7cc6e4d
Zhang, Yiming
2cb04c53-2bb8-4482-9c6a-88b55533b41a
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828

Zhong, Ping, Zhang, Yiwen, Gao, Jianliang, Zhang, Yiming and Yan, Jize (2018) Markov fluid queue model for rechargeable sensor nodes with abnormal death. In Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017. Institute of Electrical and Electronics Engineers Inc. pp. 801-806 . (doi:10.1109/ISPA/IUCC.2017.00122).

Record type: Conference or Workshop Item (Paper)

Abstract

The rechargeable sensor network is promising for various applications. However, improving network performance is challenging, because the energy depletion of the sensor nodes will result in abnormal death of the nodes. In this paper, we propose a hybrid framework to model the abnormal death of the sensor nodes. Based on the Markov fluid queue theory, the model includes three parts, namely utilizing a Markov process to simulate the charging behavior, a queuing model to trace the working mechanism of rechargeable sensor nodes, and a continuous fluid process to indicate the energy level of sensor nodes. The numerical results show that our model can effectively predict the probability of abnormal death and stationary energy consumption of the sensor nodes.

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More information

Published date: 25 May 2018
Venue - Dates: 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 2017-12-12 - 2017-12-15
Keywords: Abnormal death, Markov fluid queue, Stationary energy consumption, Wireless rechargeable sensor network

Identifiers

Local EPrints ID: 424834
URI: http://eprints.soton.ac.uk/id/eprint/424834
PURE UUID: 1f857c92-84ae-4b23-a93b-3436f009191f
ORCID for Jize Yan: ORCID iD orcid.org/0000-0002-2886-2847

Catalogue record

Date deposited: 05 Oct 2018 11:49
Last modified: 20 Jul 2019 00:34

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Contributors

Author: Ping Zhong
Author: Yiwen Zhang
Author: Jianliang Gao
Author: Yiming Zhang
Author: Jize Yan ORCID iD

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