• Title/Summary/Keyword: Sensor Data Management

Search Result 900, Processing Time 0.027 seconds

Cluster-Based Mobile Sink Location Management Scheme for Solar-Powered Wireless Sensor Networks

  • Oh, Eomji;Kang, Minjae;Yoon, Ikjune;Noh, Dong Kun
    • Journal of the Korea Society of Computer and Information
    • /
    • v.22 no.9
    • /
    • pp.33-40
    • /
    • 2017
  • In this paper, we propose a sink-location management and data-routing scheme to effectively support the mobile sink in solar-powered WSN. Battery-based wireless sensor networks (WSNs) have a limited lifetime due to their limited energy, but solar energy-based WSNs can be supplied with energy periodically and can operate forever. On the other hand, introduction of mobile sink in WSNs can solve some energy unbalance problem between sink-neighboring nodes and outer nodes which is one of the major challenges in WSNs. However, there is a problem that additional energy should be consumed to notify each sensor node of the location of the randomly moving mobile sink. In the proposed scheme, one of the nodes that harvests enough energy in each cluster are selected as the cluster head, and the location information of the mobile sink is shared only among the cluster heads, thereby reducing the location management overhead. In addition, the overhead for setting the routing path can be removed by transferring data in the opposite direction to the path where the sink-position information is transferred among the heads. Lastly, the access node is introduced to transmit data to the sink more reliably when the sink moves frequently.

Real-time Water Monitoring System for Small Water Supply Facility using High Reliable Wireless Sensor Network (고신뢰 무선센서네트워크를 이용한 실시간 수질 모니터링 시스템)

  • Kang, Hoyong;Jang, Youn-Seon
    • Journal of Sensor Science and Technology
    • /
    • v.24 no.5
    • /
    • pp.331-341
    • /
    • 2015
  • In this paper, real-time water quality monitoring system of small water supply facilities based on IEEE 802.15.4e-2012 DSME MAC and IEEE 802.15.4g-2012 PHY standard is presented, which is capable to acquire for highly reliable water quality information in the wide outdoor areas for effective water quality management of small water quality facilities is distributed in the long distance and remote areas. Previously, Long distance transmission is difficult in most water quality sensor module is using RS-485 protocol. But with this system, even in harsh outdoor environment, it is possible to establish a radio wave sensor in a wide area network, and not only water quality sensor shall be connected to the wireless system, but also wireless integrated management system shall provide more effective way of management of the numerous small water supply facilities spread throughout the community, so that the administrator can remotely monitor the data of water turbidity, pH, residual chlorine in the water-supply, water-level, and generate alarm to cope with risks. The management of small water facilities is done by residents will be very effective to notice water quality information of small water facilities to residents.

Design and Implementation of Sensor Information Management System based on Celery-MongoDB (Celery-MongoDB 를 활용한 센서정보 관리시스템 설계 및 구현)

  • Kang, Yun-Hee
    • Journal of Platform Technology
    • /
    • v.9 no.2
    • /
    • pp.3-9
    • /
    • 2021
  • The management of sensor information requires the functions for registering, modifying and deleting rapidly sensor information about various many sensors. In this research, Celery and MongoDB are used for developing a sensory data management system. Celery supplies a queue structure based on asynchronous communication in Python. Celery is a distributed simple job-queue but reliable distributed system suitable for processing large message. MongoDB is a NoSQL database that is capable of managing various informal information. In this experiment, we have checked that variety of sensor information can be processed with this system in a IoT environment. To improve the performance for handling a message with sensory data, this system will be deployed in the edge of a cloud infrastructure.

A Survey on Key Management Strategies for Different Applications of Wireless Sensor Networks

  • Raazi, Syed Muhammad Khaliq-Ur-Rahman;Lee, Sung-Young
    • Journal of Computing Science and Engineering
    • /
    • v.4 no.1
    • /
    • pp.23-51
    • /
    • 2010
  • Wireless Sensor Networks (WSN) have proved to be useful in applications that involve monitoring of real-time data. There is a wide variety of monitoring applications that can employ Wireless Sensor Network. Characteristics of a WSN, such as topology and scale, depend upon the application, for which it is employed. Security requirements in WSN vary according to the application dependent network characteristics and the characteristics of an application itself. Key management is the most important aspect of security as some other security modules depend on it. We discuss application dependent variations in WSN, corresponding changes in the security requirements of WSN and the applicability of existing key management solutions in each scenario.

Sensor Information Collection Method and System for on-site Management based on Digital-twin (디지털트윈 기반 현장 관리를 위한 센서 정보 수집 기법 및 시스템)

  • Minjae Seo;Jun-woo Ha;Hyeon-kyu Lim;Jihye Jeon
    • Journal of Internet Computing and Services
    • /
    • v.24 no.5
    • /
    • pp.9-16
    • /
    • 2023
  • Recently, there is an increasing demand to quickly identify changes in the field by applying Digital-twin for on-site management control and analyzing changes in real-time data transmitted. When technologies such as Digital-twin are applied, early problem response and quick response to situations are possible. However, in order to maximize the advantages of digital twin technology, a method of collecting and managing sensor data that collects field information at an appropriate period is required. need. In addition, it is necessary to consider how sensor information is transmitted to each management domain and how to identify and respond to abnormal situations so that it can be visualized for each management purpose. In this paper, we propose a method for collecting heterogeneous sensor information and related system configuration for on-site inspection management based on digital twin.

Energy harvesting and power management of wireless sensors for structural control applications in civil engineering

  • Casciati, Sara;Faravelli, Lucia;Chen, Zhicong
    • Smart Structures and Systems
    • /
    • v.10 no.3
    • /
    • pp.299-312
    • /
    • 2012
  • The authors' research efforts recently led to the development of a customized wireless control unit which receives the real-time feedbacks from the sensors, and elaborates the consequent control signal to drive the actuator(s). The controller is wireless in performing the data transmission task, i.e., it receives the signals from the sensors without the need of installing any analogue cable connection between them, but it is powered by wire. The actuator also needs to be powered by wire. In this framework, the design of a power management unit is of interest only for the wireless sensor stations, and it should be adaptable to different kind of sensor requirements in terms of voltage and power consumption. In the present paper, the power management efficiency is optimized by taking into consideration three different kinds of accelerometers, a load cell, and a non-contact laser displacement sensor. The required voltages are assumed to be provided by a power harvesting solution where the energy is stored into a capacitor.

Quality Monitoring Method Analysis for GNSS Ground Station Monitoring and Control Subsystem (위성항법 지상국 감시제어시스템 품질 감시 기법 분석)

  • Jeong, Seong-Kyun;Lee, Sang-Uk
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.18 no.1
    • /
    • pp.11-18
    • /
    • 2010
  • GNSS(Global Navigation Satellite System) Ground Station performs GNSS signal acquisition and processing. This system generates error correction information and distributes them to GNSS users. GNSS Ground Station consists of sensor station which contains receiver and meteorological sensor, monitoring and control subsystem which monitors and controls sensor station, control center which generates error correction information, and uplink station which transmits correction information to navigation satellites. Monitoring and control subsystem acquires and processes navigation data from sensor station. The processed data is transmitted to GNSS control center. Monitoring and control subsystem consists of data acquisition module, data formatting and archiving module, data error correction module, navigation determination module, independent quality monitoring module, and system maintenance and management module. The independent quality monitoring module inspects navigation signal, data, and measurement. This paper introduces independent quality monitoring and performs the analysis using measurement data.

Improving a Forward & Backward Secure Key Management Scheme for Wireless Sensor Networks

  • Park, Dong-Gook
    • Journal of information and communication convergence engineering
    • /
    • v.7 no.4
    • /
    • pp.521-524
    • /
    • 2009
  • Park proposed a forward & backward Secure key management scheme in wireless sensor networks for Process Control Systems (PCSs) or Supervisory Control and Data Acquisition (SCADA) systems [7]. The scheme, however, is still vulnerable to an attack called "sandwich attack": two nodes captured at times $t_1$ and $t_2$, respectively, surrenders all the group keys used between times $t_1$ and $t_2$. In this paper, we propose a fix to the scheme, which can limit the vulnerable time duration to an arbitrarily chosen time span while keeping the forward and backward secrecy of the scheme untouched.

On-the-go Soil Strength Profile Sensor to Quantify Spatial and Vertical Variations in Soil Strength

  • Chung, Sun-Ok;Sudduth, Kenneth A.
    • Agricultural and Biosystems Engineering
    • /
    • v.6 no.2
    • /
    • pp.39-46
    • /
    • 2005
  • Because soil compaction is a concern in crop production and environmental pollution, quantification and management of spatial and vertical variability in soil compaction for soil strength) would be a useful aspect of site -specific field management. In this paper, a soil strength profile sensor (SSPS) that could take measurements continuously while traveling across the field was developed and the performance was evaluated through laboratory and field tests. The SSPS obtained data simultaneously at 5 evenly spaced depths up to 50 em using an array of load cells, each of which was interfaced with a soil-cutting tip. Means of soil strength measurements collected in adjacent, parallel transects were not significantly different, confirming the repeatability of soil strength sensing with the SSPS. Maps created with sensor data showed spatial and vertical variability in soil strength. Depth to the restrictive layer was different for different field locations, and only 5 to 16% of the tested field areas were highly compacted.

  • PDF

Sensor Route Management Scheme for Wireless Sensor Network

  • Rahman, Md. Obaidur;Hong, Choong-Seon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2007.05a
    • /
    • pp.1283-1285
    • /
    • 2007
  • A wireless sensor network is the combination of a large number of deployed sensors over an area. Communication between the sensors is the most important factor for a successful sensor network. It is mandatory that long distance and multi-hop communication will occur between sensors. Generally sensors relay the sensed data of a particular territory to the command center via a base station. For the non uniformed deployment of sensors many sensors may deploy in hostile areas surrounded by full of obstacles or in other condition it may be out of the direct communication range of the base station. It seems a critical problem for routing data to and from those sensors to the base station. This paper proposes a route management scheme using a dynamic load balancing approach based on residual energy of each agent sensors.