IEICE TRANSACTIONS on Communications
A Realistic Communication Model for Distributed Error-Prone Wireless Sensor Networks
Summary :
With Wireless Sensor Networks (WSNs) involving in diverse applications, the realistic analysis of energy consumption of a sensor node in an error-prone network environment is emerging as an elementary research issue. In this paper, we introduce a Distributed Communication Model (DCM) that can accurately determine the energy consumption through data communication from source to destination in error-prone network environments. The energy consumption is affected with the quality of link, which is characterized by symmetry, directivity, instability, and irregularity of the communication range of a sensor node. Due to weak communication links, significant packet loss occurs that affects the overall energy consumption. While other models unable to determine energy consumption due to lossy links in error-prone and unstable network environments, DCM can accurately estimate the energy consumption in such situations. We also perform comprehensive analysis of overheads caused by data propagation through multi-hop distributed networks. We validate DCM through both simulations and experiments using MICAz motes. Similarity of the results from energy consumption analysis with both simulations and experimentations shows that DCM is realistic, compared to other models in terms of accuracy and diversity of the environments.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.10 pp.2805-2816
- Publication Date
- 2011/10/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.2805
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Muhammad TARIQ, Martin MACUHA, Yong-Jin PARK, Takuro SATO, "A Realistic Communication Model for Distributed Error-Prone Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 10, pp. 2805-2816, October 2011, doi: 10.1587/transcom.E94.B.2805.
Abstract: With Wireless Sensor Networks (WSNs) involving in diverse applications, the realistic analysis of energy consumption of a sensor node in an error-prone network environment is emerging as an elementary research issue. In this paper, we introduce a Distributed Communication Model (DCM) that can accurately determine the energy consumption through data communication from source to destination in error-prone network environments. The energy consumption is affected with the quality of link, which is characterized by symmetry, directivity, instability, and irregularity of the communication range of a sensor node. Due to weak communication links, significant packet loss occurs that affects the overall energy consumption. While other models unable to determine energy consumption due to lossy links in error-prone and unstable network environments, DCM can accurately estimate the energy consumption in such situations. We also perform comprehensive analysis of overheads caused by data propagation through multi-hop distributed networks. We validate DCM through both simulations and experiments using MICAz motes. Similarity of the results from energy consumption analysis with both simulations and experimentations shows that DCM is realistic, compared to other models in terms of accuracy and diversity of the environments.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2805/_p
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@ARTICLE{e94-b_10_2805,
author={Muhammad TARIQ, Martin MACUHA, Yong-Jin PARK, Takuro SATO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Realistic Communication Model for Distributed Error-Prone Wireless Sensor Networks},
year={2011},
volume={E94-B},
number={10},
pages={2805-2816},
abstract={With Wireless Sensor Networks (WSNs) involving in diverse applications, the realistic analysis of energy consumption of a sensor node in an error-prone network environment is emerging as an elementary research issue. In this paper, we introduce a Distributed Communication Model (DCM) that can accurately determine the energy consumption through data communication from source to destination in error-prone network environments. The energy consumption is affected with the quality of link, which is characterized by symmetry, directivity, instability, and irregularity of the communication range of a sensor node. Due to weak communication links, significant packet loss occurs that affects the overall energy consumption. While other models unable to determine energy consumption due to lossy links in error-prone and unstable network environments, DCM can accurately estimate the energy consumption in such situations. We also perform comprehensive analysis of overheads caused by data propagation through multi-hop distributed networks. We validate DCM through both simulations and experiments using MICAz motes. Similarity of the results from energy consumption analysis with both simulations and experimentations shows that DCM is realistic, compared to other models in terms of accuracy and diversity of the environments.},
keywords={},
doi={10.1587/transcom.E94.B.2805},
ISSN={1745-1345},
month={October},}
Copy
TY - JOUR
TI - A Realistic Communication Model for Distributed Error-Prone Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2805
EP - 2816
AU - Muhammad TARIQ
AU - Martin MACUHA
AU - Yong-Jin PARK
AU - Takuro SATO
PY - 2011
DO - 10.1587/transcom.E94.B.2805
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2011
AB - With Wireless Sensor Networks (WSNs) involving in diverse applications, the realistic analysis of energy consumption of a sensor node in an error-prone network environment is emerging as an elementary research issue. In this paper, we introduce a Distributed Communication Model (DCM) that can accurately determine the energy consumption through data communication from source to destination in error-prone network environments. The energy consumption is affected with the quality of link, which is characterized by symmetry, directivity, instability, and irregularity of the communication range of a sensor node. Due to weak communication links, significant packet loss occurs that affects the overall energy consumption. While other models unable to determine energy consumption due to lossy links in error-prone and unstable network environments, DCM can accurately estimate the energy consumption in such situations. We also perform comprehensive analysis of overheads caused by data propagation through multi-hop distributed networks. We validate DCM through both simulations and experiments using MICAz motes. Similarity of the results from energy consumption analysis with both simulations and experimentations shows that DCM is realistic, compared to other models in terms of accuracy and diversity of the environments.
ER -
English
