• 제목/요약/키워드: Under-Water Sensor Networks

검색결과 6건 처리시간 0.024초

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

  • N. Nithiyanandam;C. Mahesh;S.P. Raja;S. Jeyapriyanga;T. Selva Banu Priya
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권6호
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    • pp.1706-1727
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    • 2023
  • Under Water Sensor Networks (UWSN) has gained attraction among various communities for its potential applications like acoustic monitoring, 3D mapping, tsunami detection, oil spill monitoring, and target tracking. Unlike terrestrial sensor networks, it performs an acoustic mode of communication to carry out collaborative tasks. Typically, surface sink nodes are deployed for aggregating acoustic phenomena collected from the underwater sensors through the multi-hop path. In this context, UWSN is constrained by factors such as lower bandwidth, high propagation delay, and limited battery power. Also, the vulnerabilities to compromise the aquatic environment are in growing numbers. The paper proposes an Energy-Efficient standalone Intrusion Detection System (EEIDS) to entail the acoustic environment against malicious attacks and improve the network lifetime. In EEIDS, attributes such as node ID, residual energy, and depth value are verified for forwarding the data packets in a secured path and stabilizing the nodes' energy levels. Initially, for each node, three agents are modeled to perform the assigned responsibilities. For instance, ID agent verifies the node's authentication of the node, EN agent checks for the residual energy of the node, and D agent substantiates the depth value of each node. Next, the classification of normal and malevolent nodes is performed by determining the score for each node. Furthermore, the proposed system utilizes the sheep-flock heredity algorithm to validate the input attributes using the optimized probability values stored in the training dataset. This assists in finding out the best-fit motes in the UWSN. Significantly, the proposed system detects and isolates the malicious nodes with tampered credentials and nodes with lower residual energy in minimal time. The parameters such as the time taken for malicious node detection, network lifetime, energy consumption, and delivery ratio are investigated using simulation tools. Comparison results show that the proposed EEIDS outperforms the existing acoustic security systems.

비가우시안 노이즈가 존재하는 수중 환경에서 MBK 시스템의 위치 추정 (Position Estimation of MBK system for non-Gaussian Underwater Sensor Networks)

  • 이대희;양연모;허경무
    • 전자공학회논문지
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    • 제50권1호
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    • pp.232-238
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    • 2013
  • 본 논문은 노이즈가 비 정규 분포를 따르는 수중 환경에서 비 선형 필터 기법에 따른 Mass-Damper-Spring (MBK) 시스템 위치추정에 관한 연구 내용이다. 최근 위치 추정에 사용되는 필터는 확장 칼만 필터 (EKF: Extended Kalman Filter) 와 파티클 필터(Particle Filter)가 주목 받고 있다. EKF는 가우시안 잡음 (Gaussian Noise) 이 존재하는 비선형 시스템에서 정확도가 높은 알고리즘으로 널리 사용되고 있지만, 수중 환경과 같이 비 가우시안 잡음이 존재하는 경우 사용에 많은 제약이 따른다. 이에 본 논문에서는 상태예측을 기반으로 둔 EKF와 비교하여, 통계적 발생 가능성 인자 (Maximum Likelihood) 에 기반한 분포 재해석 기법을 이용한 개선된 ODPF (One-Dimension Particle Filter)를 제안한다. 모의 실험을 통하여 non-Gaussian noise가 존재하는 수중 환경에서 EKF와 제안한 Particle filter를 사용한 위치 추정 결과를 비교 분석하였으며, 계산 용량 및 통계 샘플이 충분한 경우 ODPF가 EKF 대비 정확한 위치 추정 결과를 제공하는 것을 확인하였다.

센서 네트워크 상에서의 저전력 보안 수중 통신을 위한 동작 전압 스케일 기반 암호화에 대한 연구 (On Dynamic Voltage Scale based Protocol for Low Power Underwater Secure Communication on Sensor Network)

  • 서화정;김호원
    • 한국정보통신학회논문지
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    • 제18권3호
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    • pp.586-594
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    • 2014
  • 수중 통신 상에서 가장 중요한 요소는 한정된 전원을 보다 효율적으로 소모하여 운영 가능 시간을 최대화하는데 있다. 보다 효율적인 전압 소모를 위해 적용 가능한 기법으로는 동적 전압 스케일 기법이 있다. 해당 기법은 평상시에는 낮은 주파수로 동작하여 대기 전력을 최소화하며 복잡한 연산을 수행하는 경우에는 빠른 주파수로 계산함으로써 전체 소모되는 전력량을 줄인다. 복잡한 암호화 연산의 경우 빠른 주파수로 연산을 하는 것이 보다 효율적이다. 본 논문에서는 다양한 센서 상에서의 암호화 기법에 동적 전압 스케일 기법을 적용한 결과를 보여 줌으로써 수중 통신 상에서 적합한 저전력 암호화 방안에 대해 살펴본다.

Software Design of Packet Analyzer based on Byte-Filtered Packet Inspection Mechanism for UW-ASN

  • Muminov, Sardorbek;Yun, Nam-Yeol;Park, Soo-Hyun
    • 한국멀티미디어학회논문지
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    • 제14권12호
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    • pp.1572-1582
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    • 2011
  • The rapid growth of UnderWater Acoustic Sensor Networks (UW-ASNs) has led researchers to enhance underwater MAC protocols against limitations existing in underwater environment. We propose the customized robust real-time packet inspection mechanism with addressing the problem of the search for the data packet loss and network performance quality analysis in UW-ASNs, and describe our experiences using this approach. The goal of this work is to provide a framework to assess the network real-time performance quality. We propose a customized and adaptive mechanism to detect, monitor and analyze the data packets according to the MAC protocol standards in UW-ASNs. The packet analyzing method and software we propose is easy to implement, maintain, update and enhance. We take input stream as real data packets from sniffer node in capture mode and perform fully analysis. We were interested in developing software and hardware designed tool with the same capabilities which almost all terrestrial network packet sniffers have. Experimental results confirm that the best way to achieve maximum performance requires the most adaptive algorithm. In this paper, we present and offer the proposed packet analyzer, which can be effectively used for implementing underwater MAC protocols.

PREDICTION OF THE REACTOR VESSEL WATER LEVEL USING FUZZY NEURAL NETWORKS IN SEVERE ACCIDENT CIRCUMSTANCES OF NPPS

  • Park, Soon Ho;Kim, Dae Seop;Kim, Jae Hwan;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • 제46권3호
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    • pp.373-380
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    • 2014
  • Safety-related parameters are very important for confirming the status of a nuclear power plant. In particular, the reactor vessel water level has a direct impact on the safety fortress by confirming reactor core cooling. In this study, the reactor vessel water level under the condition of a severe accident, where the water level could not be measured, was predicted using a fuzzy neural network (FNN). The prediction model was developed using training data, and validated using independent test data. The data was generated from simulations of the optimized power reactor 1000 (OPR1000) using MAAP4 code. The informative data for training the FNN model was selected using the subtractive clustering method. The prediction performance of the reactor vessel water level was quite satisfactory, but a few large errors were occasionally observed. To check the effect of instrument errors, the prediction model was verified using data containing artificially added errors. The developed FNN model was sufficiently accurate to be used to predict the reactor vessel water level in severe accident situations where the integrity of the reactor vessel water level sensor is compromised. Furthermore, if the developed FNN model can be optimized using a variety of data, it should be possible to predict the reactor vessel water level precisely.

LED조명을 이용한 수중환경에서의 VLC 연구 (A Study on a Visible Light Communication using LED in Under-water Environment)

  • 정희석;양연모;허경무
    • 전자공학회논문지SC
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    • 제48권5호
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    • pp.1-6
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    • 2011
  • LED(Light Emitting Diode) 소자는 현대 기술의 발달로 형광등이나 전구보다 수명이 길고 전력소모가 작으며 제어가 쉽다는 장점을 가지고 있다. 이러한 이유로 LED 소자를 이용한 조명이 많이 사용되고 있다. 최근 LED 소자의 고속응답특성을 이용한 통신기법인 가시광통신(Visible Light Communication, 이하 VLC)이 주목받기 시작하였다. VLC의 경우 전파를 사용하지 않아 주파수 할당이 필요가 없으며, 데이터전송에 ISM(Industrial Scientific Medical band)과 같은 간섭 또한 존재하지 않는다. 그렇기 때문에 VLC에 관한 연구 결과가 많이 나오고 있다. 본 논문에서는 기존의 LED 조명을 사용한 VLC와 수중환경에서의 VLC에 대한 survey를 진행하고 활용방법을 살펴보았다.