• Title/Summary/Keyword: Sensor nodes

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Area-Optimized Multi-Standard AES-CCM Security Engine for IEEE 802.15.4 / 802.15.6

  • Choi, Injun;Kim, Ji-Hoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.3
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    • pp.293-299
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    • 2016
  • Recently, as IoT (Internet of Things) becomes more important, low cost implementation of sensor nodes also becomes critical issues for two well-known standards, IEEE 802.15.4 and IEEE 802.15.6 which stands for WPAN (Wireless Personal Area Network) and WBAN (Wireless Body Area Network), respectively. This paper presents the area-optimized AES-CCM (Advanced Encryption Standard - Counter with CBC-MAC) hardware security engine which can support both IEEE 802.15.4 and IEEE 802.15.6 standards. First, for the low cost design, we propose the 8-bit AES encryption core with the S-box that consists of fully combinational logic based on composite field arithmetic. We also exploit the toggle method to reduce the complexity of design further by reusing the AES core for performing two operation mode of AES-CCM. The implementation results show that the total gate count of proposed AES-CCM security engine can be reduced by up to 42.5% compared to the conventional design.

Handover Protocol for Mobility Support in Ubiquitous Sensor Network (USN에서의 이동성을 위한 핸드오버 인증 프로토콜)

  • Bruce, Ndibanje;Kim, TaeYong;Lee, HoonJae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.07a
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    • pp.203-206
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    • 2012
  • The System of communication with wireless devices is experiencing a huge growth. While traditional communication paradigms deal with fixed networks, mobility raises a new set of questions, techniques, and solutions. In order to realize service mobility, there is a need of protocol that can support mobility while nodes are communicating without any disruption of their connection status. This paper proposes a handover authentication protocol for mobility support. Careful considerations must be taken in priority to security issues since many unreliable public and private resources; both networks and devices are involved. The protocol is based on public key cryptography with Diffie-Hellman algorithm which provides security against both leakage-resilience of private keys on untrustworthy devices and forward secrecy.

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An Energy-efficient Clustering Algorithm using the Guaranteed Minimum Coverage for ClusterHeads in Wireless Sensor Networks (무선 센서 네트워크에서의 에너지 효율을 위한 클러스터 헤더 재배치 알고리즘)

  • Kim, Nam-Hun;Park, Tae-Rim;Kwon, Wook-Hyun;Kim, Jeong-Jun;Kim, Yong-Ho;Sin, Yeong-Hui
    • 한국정보통신설비학회:학술대회논문집
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    • 2005.08a
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    • pp.349-357
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    • 2005
  • In this paper, a new clustering algorithm using the Guaranteed Minimum Coverage (GMC) is proposed. In the new protocol, an appropriate distribution of clusterheads is accomplished by guaranteeing a stochastic coverage at each clusterhead(CH)s. Using this protocol, the communication cost from clusterheads to their member nodes and the load variance in each clusterheads are reduced. Therefore, the network lifetime can be extended and the fair energy consumption for all CHs can be achieved

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Locating Method for Multiple Mobile Nodes in Wireless Sensor Networks (센서네트워크에서 다수의 이동 노드추적 기법)

  • Lee Sung-Min;Cha Hojung
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07a
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    • pp.514-516
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    • 2005
  • 본 논문은 기존의 수동적 위치 추적 응용을 사용자가 시스템과 상호작용이 가능하도록 확장함으로 계속적으로 이 동하는 센서노드에게 사용자가 원하는 명령을 전달할 때 메시지의 양이 많아지는 문제점을 해결하기 위한 기법을 제시한다. 이 기법은 상황에 따라 전체 센서 필드에 데이터를 전파하는 full-scale flooding 과 지역적으로 데이터를 전파하는 constrained flooding을 상황에 따라서 선택 사용하는 방식으로 서로의 약점을 보완함으로 최대의 효과를 얻는다. 시뮬레이션을 바탕으로 full-scale flooding만을 사용했을 때와 비교했을 때 이동 노드의 수가 늘어 나는 과정에서 $10\%-90\%$까지 메시지의 양을 줄일 수 있었고, 최악의 상황에서도 full-scale flooding보다 그 결과가 나쁘지 않다.

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Improving the Network Lifetime of WSNs by Using Control of Sensor Nodes in Border Surveillance (국경 감시망 환경하에서 센서 노드 제어를 통한 네트워크 수명 향상)

  • Lee, Jae-Hun;Kim, Dong-Wan;An, Sun-Shin;Boudriga, Noureddine
    • Annual Conference of KIPS
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    • 2014.11a
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    • pp.164-167
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    • 2014
  • 무선 센서 네트워크를 이용한 국경 감시망 시스템은 기존 센서 네트워크의 요구 조건인 효율적인 에너지 사용을 만족함과 동시에 침입자에 대한 신속하고 정확한 감지가 요구된다. 본 논문에서는 이러한 요구 사항을 만족하기 위해 위치에 따라 그룹화된 센서 노드들의 센싱 모듈을 차등적으로 sleep 하는 방법과 전송파워를 동적으로 조절하는 방법을 제안한다. 그리고 이를 통해 효율적인 에너지 소비 및 신속한 감지를 하는 시스템을 구축하고, 논문에서 제안하는 기법의 성능 향상을 확인한다.

A Routing Scheme for Reducing the Power Consumption of USN nodes (USN 노드의 소비전력 절감을 위한 경로설정 기법)

  • Lee, Moon-Ho
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2006.06a
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    • pp.737-747
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    • 2006
  • USN(Ubiquitous Sensor Network)는 환경 및 재난 관리, 에너지 관리, 의료 및 건강 서비스, 물류 및 유통관리 등의 다양한 분야에 응용될 수 있는 네트워크이다. USN은 저 전력으로 센싱 기능, 연산 및 네트워크 기능을 수행하는 초소형의 노드들이 한 지역에 분산되어 망을 구성하는데 USN의 노드들은 전력을 추가적으로 공급받지 못하므로 매우 제한된 전력을 이용하여 주어진 임무를 수행하여야 한다. 또한 노드의 고장으로 인해 토폴로지가 변경될 가능성이 크다. 이러한 특성 때문에 기존의 무선 ad hoc 네트워크를 위해 제안된 경로설정 기법들은 USN 환경에 적합하지 않다. 본 논문에서는 USN 노드의 전력 소비를 최소화함으로써 노드 생존시간을 최대화하기 위한 경로실정 기법을 제안하고 성능을 평가하였다.

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Distribution based Reliable Routing Scheme with Cooperative Nodes for Wireless Sensor Networks (무선 센서 네트워크의 분산 기반 라우팅 기법)

  • Cho, Bum-Sung;Shon, Min Han;Choo, Hyunseung
    • Annual Conference of KIPS
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    • 2012.11a
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    • pp.752-754
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    • 2012
  • 무선센서네트워크 환경에서는 에너지 효율적인 데이터 패킷 전송을 위해 multi-hop routing 기법과 multi-path routing 기법 등이 연구되고 있다. 두 기법 모두 에너지를 적게 소모하는 경로를 택하여 데이터 패킷을 전송한다. 그러나 에너지를 적게 소모하는 경로를 택하기 위해 센서 노드 간 거리가 가까워져 목적지까지 데이터 패킷을 전송하는데 많은 홉 수를 필요로 한다. 따라서 본 논문에서는 에너지 효율적인 경로를 택하면서 동시에 목적지 가까이에서 데이터 패킷 전송을 이어가는 cooperative communication 기반의 라우팅 기법을 제안한다.

Unsupervised Learning-Based Pipe Leak Detection using Deep Auto-Encoder

  • Yeo, Doyeob;Bae, Ji-Hoon;Lee, Jae-Cheol
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.9
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    • pp.21-27
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    • 2019
  • In this paper, we propose a deep auto-encoder-based pipe leak detection (PLD) technique from time-series acoustic data collected by microphone sensor nodes. The key idea of the proposed technique is to learn representative features of the leak-free state using leak-free time-series acoustic data and the deep auto-encoder. The proposed technique can be used to create a PLD model that detects leaks in the pipeline in an unsupervised learning manner. This means that we only use leak-free data without labeling while training the deep auto-encoder. In addition, when compared to the previous supervised learning-based PLD method that uses image features, this technique does not require complex preprocessing of time-series acoustic data owing to the unsupervised feature extraction scheme. The experimental results show that the proposed PLD method using the deep auto-encoder can provide reliable PLD accuracy even considering unsupervised learning-based feature extraction.

SDN-based wireless body area network routing algorithm for healthcare architecture

  • Cicioglu, Murtaza;Calhan, Ali
    • ETRI Journal
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    • v.41 no.4
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    • pp.452-464
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    • 2019
  • The use of wireless body area networks (WBANs) in healthcare applications has made it convenient to monitor both health personnel and patient status continuously in real time through wearable wireless sensor nodes. However, the heterogeneous and complex network structure of WBANs has some disadvantages in terms of control and management. The software-defined network (SDN) approach is a promising technology that defines a new design and management approach for network communications. In order to create more flexible and dynamic network structures in WBANs, this study uses the SDN approach. For this, a WBAN architecture based on the SDN approach with a new energy-aware routing algorithm for healthcare architecture is proposed. To develop a more flexible architecture, a controller that manages all HUBs is designed. The proposed architecture is modeled using the Riverbed Modeler software for performance analysis. The simulation results show that the SDN-based structure meets the service quality requirements and shows superior performance in terms of energy consumption, throughput, successful transmission rate, and delay parameters according to the traditional routing approach.

Optimizing Network Lifetime of RPL Based IOT Networks Using Neural Network Based Cuckoo Search Algorithm

  • Prakash, P. Jaya;Lalitha, B.
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.255-261
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    • 2022
  • Routing Protocol for Low-Power and Lossy Networks (RPLs) in Internet of Things (IoT) is currently one of the most popular wireless technologies for sensor communication. RPLs are typically designed for specialized applications, such as monitoring or tracking, in either indoor or outdoor conditions, where battery capacity is a major concern. Several routing techniques have been proposed in recent years to address this issue. Nevertheless, the expansion of the network lifetime in consideration of the sensors' capacities remains an outstanding question. In this research, aANN-CUCKOO based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IOT-RPL. The proposed method uses time constraints to minimise the distance between source and sink with the objective of a low-cost path. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. MATLAB software is used to simulate the proposed model.