The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A detecção e o reconhecimento de eventos são importantes para o monitoramento ambiental na Internet das coisas e nos sistemas ciberfísicos. As redes de área ampla de baixa potência (LPWA) são uma das redes de sensores sem fio mais poderosas para apoiar a coleta de dados; no entanto, eles não permitem acesso sem fio de pico a partir de sensores que detectam mudanças significativas nos dados de detecção. Vários esquemas de coleta de dados para detecção e reconhecimento de eventos foram propostos. No entanto, estes não satisfazem o requisito das três funções para a detecção da ocorrência de um evento, o reconhecimento da posição de um evento e o reconhecimento das repercussões do impacto de um evento. Este estudo propõe um esquema de coleta de dados em três estágios para LPWA. Na primeira etapa, a limitação de acesso baseada na comparação entre os dados de detecção detectados e o limite de alto nível é eficaz na redução do acesso simultâneo aos sensores; assim, o reconhecimento em alta velocidade do evento inicial é alcançado. No segundo estágio, a estação do data center designa o sensor para informar os dados de detecção para obter alta precisão na estimativa da posição do evento. Na terceira fase, todos os sensores, exceto os sensores de acesso na fase inicial, acedem ao data center. Devido à recolha exaustiva de dados de detecção, as repercussões do impacto do evento podem ser reconhecidas com elevada precisão. Implementamos o esquema de coleta de dados proposto para o sistema de sensores sem fio real do LPWA. A partir da simulação computacional e avaliação experimental, mostramos a vantagem do esquema proposto em comparação ao esquema convencional.
Taiki SUEHIRO
Shinshu Univ.
Tsuyoshi KOBAYASHI
Shinshu Univ.
Osamu TAKYU
Shinshu Univ.
Yasushi FUWA
Shinshu Univ.
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Taiki SUEHIRO, Tsuyoshi KOBAYASHI, Osamu TAKYU, Yasushi FUWA, "Data Gathering Scheme for Event Detection and Recognition in Low Power Wide Area Networks" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 8, pp. 669-685, August 2023, doi: 10.1587/transcom.2022EBP3153.
Abstract: Event detection and recognition are important for environmental monitoring in the Internet of things and cyber-physical systems. Low power wide area (LPWA) networks are one of the most powerful wireless sensor networks to support data gathering; however, they do not afford peak wireless access from sensors that detect significant changes in sensing data. Various data gathering schemes for event detection and recognition have been proposed. However, these do not satisfy the requirement for the three functions for the detection of the occurrence of an event, the recognition of the position of an event, and the recognition of spillover of impact from an event. This study proposes a three-stage data gathering scheme for LPWA. In the first stage, the access limitation based on the comparison between the detected sensing data and the high-level threshold is effective in reducing the simultaneous accessing sensors; thus, high-speed recognition of the starting event is achieved. In the second stage, the data centre station designates the sensor to inform the sensing data to achieve high accuracy of the position estimation of the event. In the third stage, all the sensors, except for the accessing sensors in the early stage, access the data centre. Owing to the exhaustive gathering of sensing data, the spillover of impact from the event can be recognised with high accuracy. We implement the proposed data gathering scheme for the actual wireless sensor system of the LPWA. From the computer simulation and experimental evaluation, we show the advantage of the proposed scheme compared to the conventional scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3153/_p
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@ARTICLE{e106-b_8_669,
author={Taiki SUEHIRO, Tsuyoshi KOBAYASHI, Osamu TAKYU, Yasushi FUWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Data Gathering Scheme for Event Detection and Recognition in Low Power Wide Area Networks},
year={2023},
volume={E106-B},
number={8},
pages={669-685},
abstract={Event detection and recognition are important for environmental monitoring in the Internet of things and cyber-physical systems. Low power wide area (LPWA) networks are one of the most powerful wireless sensor networks to support data gathering; however, they do not afford peak wireless access from sensors that detect significant changes in sensing data. Various data gathering schemes for event detection and recognition have been proposed. However, these do not satisfy the requirement for the three functions for the detection of the occurrence of an event, the recognition of the position of an event, and the recognition of spillover of impact from an event. This study proposes a three-stage data gathering scheme for LPWA. In the first stage, the access limitation based on the comparison between the detected sensing data and the high-level threshold is effective in reducing the simultaneous accessing sensors; thus, high-speed recognition of the starting event is achieved. In the second stage, the data centre station designates the sensor to inform the sensing data to achieve high accuracy of the position estimation of the event. In the third stage, all the sensors, except for the accessing sensors in the early stage, access the data centre. Owing to the exhaustive gathering of sensing data, the spillover of impact from the event can be recognised with high accuracy. We implement the proposed data gathering scheme for the actual wireless sensor system of the LPWA. From the computer simulation and experimental evaluation, we show the advantage of the proposed scheme compared to the conventional scheme.},
keywords={},
doi={10.1587/transcom.2022EBP3153},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Data Gathering Scheme for Event Detection and Recognition in Low Power Wide Area Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 669
EP - 685
AU - Taiki SUEHIRO
AU - Tsuyoshi KOBAYASHI
AU - Osamu TAKYU
AU - Yasushi FUWA
PY - 2023
DO - 10.1587/transcom.2022EBP3153
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2023
AB - Event detection and recognition are important for environmental monitoring in the Internet of things and cyber-physical systems. Low power wide area (LPWA) networks are one of the most powerful wireless sensor networks to support data gathering; however, they do not afford peak wireless access from sensors that detect significant changes in sensing data. Various data gathering schemes for event detection and recognition have been proposed. However, these do not satisfy the requirement for the three functions for the detection of the occurrence of an event, the recognition of the position of an event, and the recognition of spillover of impact from an event. This study proposes a three-stage data gathering scheme for LPWA. In the first stage, the access limitation based on the comparison between the detected sensing data and the high-level threshold is effective in reducing the simultaneous accessing sensors; thus, high-speed recognition of the starting event is achieved. In the second stage, the data centre station designates the sensor to inform the sensing data to achieve high accuracy of the position estimation of the event. In the third stage, all the sensors, except for the accessing sensors in the early stage, access the data centre. Owing to the exhaustive gathering of sensing data, the spillover of impact from the event can be recognised with high accuracy. We implement the proposed data gathering scheme for the actual wireless sensor system of the LPWA. From the computer simulation and experimental evaluation, we show the advantage of the proposed scheme compared to the conventional scheme.
ER -