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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
무선 센서 네트워크(WSN)는 원격으로 다양한 환경의 정보를 얻을 수 있는 수단으로 큰 잠재력을 가지고 있기 때문에 많은 연구자들로부터 상당한 관심을 받고 있습니다. WSN은 산림 지역의 자연 환경 모니터링, 사무실 건물의 환경 제어 등 광범위한 응용 분야를 갖고 있습니다. WSN에서는 배터리 용량, 메모리, CPU, 통신 용량 등 자원 제한이 있는 수백, 수천 개의 마이크로 센서 노드가 통제 없이 한 지역에 배치되어 환경의 센서 정보를 모니터링하고 수집하는 데 사용됩니다. 따라서 WSN 수명을 연장하려면 각 센서 노드의 에너지 소비를 절약하기 위한 확장 가능하고 효율적인 네트워크 제어 및/또는 데이터 수집 방식이 필요합니다. 본 논문에서는 WSN의 장기적 활용을 실현하기 위해 센서 노드가 활성화되어 있을 때만 간헐적으로 서로 통신하도록 동기화한다고 가정하고 CPCNN(Chaotic Pulse-Coupled Neural Network)을 사용하여 센서 정보를 수집하는 새로운 동기화 방식을 제안합니다. . 우리는 컴퓨터 시뮬레이션을 사용하여 제안된 계획을 평가하고 개발 가능성에 대해 논의합니다. 시뮬레이션 실험에서는 제안한 기법을 펄스 결합 발진기 모델 기반의 기존 동기화 기법과 비교하여 그 효율성을 검증하였다.
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Hidehiro NAKANO, Akihide UTANI, Arata MIYAUCHI, Hisao YAMAMOTO, "Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 2, pp. 459-466, February 2009, doi: 10.1587/transfun.E92.A.459.
Abstract: Wireless sensor networks (WSNs) have attracted a significant amount of interest from many researchers because they have great potential as a means of obtaining information of various environments remotely. WSNs have a wide range of applications, such as natural environmental monitoring in forest regions and environmental control in office buildings. In WSNs, hundreds or thousands of micro-sensor nodes with such resource limitations as battery capacity, memory, CPU, and communication capacity are deployed without control in a region and used to monitor and gather sensor information of environments. Therefore, a scalable and efficient network control and/or data gathering scheme for saving energy consumption of each sensor node is needed to prolong WSN lifetime. In this paper, assuming that sensor nodes synchronize to intermittently communicate with each other only when they are active for realizing the long-term employment of WSNs, we propose a new synchronization scheme for gathering sensor information using chaotic pulse-coupled neural networks (CPCNN). We evaluate the proposed scheme using computer simulations and discuss its development potential. In simulation experiments, the proposed scheme is compared with a previous synchronization scheme based on a pulse-coupled oscillator model to verify its effectiveness.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.459/_p
부
@ARTICLE{e92-a_2_459,
author={Hidehiro NAKANO, Akihide UTANI, Arata MIYAUCHI, Hisao YAMAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks},
year={2009},
volume={E92-A},
number={2},
pages={459-466},
abstract={Wireless sensor networks (WSNs) have attracted a significant amount of interest from many researchers because they have great potential as a means of obtaining information of various environments remotely. WSNs have a wide range of applications, such as natural environmental monitoring in forest regions and environmental control in office buildings. In WSNs, hundreds or thousands of micro-sensor nodes with such resource limitations as battery capacity, memory, CPU, and communication capacity are deployed without control in a region and used to monitor and gather sensor information of environments. Therefore, a scalable and efficient network control and/or data gathering scheme for saving energy consumption of each sensor node is needed to prolong WSN lifetime. In this paper, assuming that sensor nodes synchronize to intermittently communicate with each other only when they are active for realizing the long-term employment of WSNs, we propose a new synchronization scheme for gathering sensor information using chaotic pulse-coupled neural networks (CPCNN). We evaluate the proposed scheme using computer simulations and discuss its development potential. In simulation experiments, the proposed scheme is compared with a previous synchronization scheme based on a pulse-coupled oscillator model to verify its effectiveness.},
keywords={},
doi={10.1587/transfun.E92.A.459},
ISSN={1745-1337},
month={February},}
부
TY - JOUR
TI - Data Gathering Scheme Using Chaotic Pulse-Coupled Neural Networks for Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 459
EP - 466
AU - Hidehiro NAKANO
AU - Akihide UTANI
AU - Arata MIYAUCHI
AU - Hisao YAMAMOTO
PY - 2009
DO - 10.1587/transfun.E92.A.459
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2009
AB - Wireless sensor networks (WSNs) have attracted a significant amount of interest from many researchers because they have great potential as a means of obtaining information of various environments remotely. WSNs have a wide range of applications, such as natural environmental monitoring in forest regions and environmental control in office buildings. In WSNs, hundreds or thousands of micro-sensor nodes with such resource limitations as battery capacity, memory, CPU, and communication capacity are deployed without control in a region and used to monitor and gather sensor information of environments. Therefore, a scalable and efficient network control and/or data gathering scheme for saving energy consumption of each sensor node is needed to prolong WSN lifetime. In this paper, assuming that sensor nodes synchronize to intermittently communicate with each other only when they are active for realizing the long-term employment of WSNs, we propose a new synchronization scheme for gathering sensor information using chaotic pulse-coupled neural networks (CPCNN). We evaluate the proposed scheme using computer simulations and discuss its development potential. In simulation experiments, the proposed scheme is compared with a previous synchronization scheme based on a pulse-coupled oscillator model to verify its effectiveness.
ER -