Mutual Information Evaluation and Optimization of Intermittent Transmission Methods in Energy Harvesting Wireless Sensor Networks

Xiaohui FAN; Hiraku OKADA; Kentaro KOBAYASHI; Masaaki KATAYAMA

doi:10.1587/transcom.E97.B.1826

Mutual Information Evaluation and Optimization of Intermittent Transmission Methods in Energy Harvesting Wireless Sensor Networks

Xiaohui FAN, Hiraku OKADA, Kentaro KOBAYASHI, Masaaki KATAYAMA

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Energy harvesting technology was introduced into wireless sensor networks (WSNs) to solve the problem of the short lifetimes of sensor nodes. The technology gives sensor nodes the ability to convert environmental energy into electricity. Sufficient electrical energy can lengthen the lifetime and improve the quality of service of a WSN. This paper proposes a novel use of mutual information to evaluate data transmission behavior in the energy harvesting WSNs. Data at a sink for a node deteriorates over time until the next periodic transmission from the node is received. In this paper, we suggest an optimized intermittent transmission method for WSNs that harvest energy. Our method overcomes the problem of information deterioration without increasing energy cost. We show that by using spatial correlation between different sensor nodes, our proposed method can mitigate information deterioration significantly at the sink.

Publication: IEICE TRANSACTIONS on Communications Vol.E97-B No.9 pp.1826-1834

Publication Date: 2014/09/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E97.B.1826

Type of Manuscript: Special Section PAPER (Special Section on Ambient Intelligence and Sensor Networks)

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Authors

Xiaohui FAN
  Nagoya University
Hiraku OKADA
  Nagoya University
Kentaro KOBAYASHI
  Nagoya University
Masaaki KATAYAMA
  Nagoya University

Keyword

mutual information, temporal correlation, spatial correlation, energy harvesting, wireless sensor network

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Xiaohui FAN, Hiraku OKADA, Kentaro KOBAYASHI, Masaaki KATAYAMA, "Mutual Information Evaluation and Optimization of Intermittent Transmission Methods in Energy Harvesting Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E97-B, no. 9, pp. 1826-1834, September 2014, doi: 10.1587/transcom.E97.B.1826.
Abstract: Energy harvesting technology was introduced into wireless sensor networks (WSNs) to solve the problem of the short lifetimes of sensor nodes. The technology gives sensor nodes the ability to convert environmental energy into electricity. Sufficient electrical energy can lengthen the lifetime and improve the quality of service of a WSN. This paper proposes a novel use of mutual information to evaluate data transmission behavior in the energy harvesting WSNs. Data at a sink for a node deteriorates over time until the next periodic transmission from the node is received. In this paper, we suggest an optimized intermittent transmission method for WSNs that harvest energy. Our method overcomes the problem of information deterioration without increasing energy cost. We show that by using spatial correlation between different sensor nodes, our proposed method can mitigate information deterioration significantly at the sink.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.1826/_p

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@ARTICLE{e97-b_9_1826,
author={Xiaohui FAN, Hiraku OKADA, Kentaro KOBAYASHI, Masaaki KATAYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Mutual Information Evaluation and Optimization of Intermittent Transmission Methods in Energy Harvesting Wireless Sensor Networks},
year={2014},
volume={E97-B},
number={9},
pages={1826-1834},
abstract={Energy harvesting technology was introduced into wireless sensor networks (WSNs) to solve the problem of the short lifetimes of sensor nodes. The technology gives sensor nodes the ability to convert environmental energy into electricity. Sufficient electrical energy can lengthen the lifetime and improve the quality of service of a WSN. This paper proposes a novel use of mutual information to evaluate data transmission behavior in the energy harvesting WSNs. Data at a sink for a node deteriorates over time until the next periodic transmission from the node is received. In this paper, we suggest an optimized intermittent transmission method for WSNs that harvest energy. Our method overcomes the problem of information deterioration without increasing energy cost. We show that by using spatial correlation between different sensor nodes, our proposed method can mitigate information deterioration significantly at the sink.},
keywords={},
doi={10.1587/transcom.E97.B.1826},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - Mutual Information Evaluation and Optimization of Intermittent Transmission Methods in Energy Harvesting Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1826
EP - 1834
AU - Xiaohui FAN
AU - Hiraku OKADA
AU - Kentaro KOBAYASHI
AU - Masaaki KATAYAMA
PY - 2014
DO - 10.1587/transcom.E97.B.1826
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2014
AB - Energy harvesting technology was introduced into wireless sensor networks (WSNs) to solve the problem of the short lifetimes of sensor nodes. The technology gives sensor nodes the ability to convert environmental energy into electricity. Sufficient electrical energy can lengthen the lifetime and improve the quality of service of a WSN. This paper proposes a novel use of mutual information to evaluate data transmission behavior in the energy harvesting WSNs. Data at a sink for a node deteriorates over time until the next periodic transmission from the node is received. In this paper, we suggest an optimized intermittent transmission method for WSNs that harvest energy. Our method overcomes the problem of information deterioration without increasing energy cost. We show that by using spatial correlation between different sensor nodes, our proposed method can mitigate information deterioration significantly at the sink.
ER -