• Title/Summary/Keyword: wireless smart sensor network

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An Enhanced Mutual Key Agreement Protocol for Mobile RFID-enabled Devices

  • Mtoga, Kambombo;Yoon, Eun-Jun
    • IEIE Transactions on Smart Processing and Computing
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    • v.1 no.1
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    • pp.65-71
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    • 2012
  • Mobile RFID is a new application that uses a mobile phone as an RFID reader with wireless technology and provides a new valuable service to users by integrating RFID and ubiquitous sensor network infrastructures with mobile communication and wireless Internet. Whereas the mobile RFID system has many advantages, privacy violation problems on the reader side are very concerning to individuals and researchers. Unlike in regular RFID environments, where the communication channel between the server and reader is assumed to be secure, the communication channel between the backend server and the RFID reader in the mobile RFID system is not assumed to be safe. Therefore it has become necessary to devise a new communication protocol that secures the privacy of mobile RFID-enabled devices. Recently, Lo et al. proposed a mutual key agreement protocol that secures the authenticity and privacy of engaged mobile RFID readers by constructing a secure session key between the reader and server. However, this paper shows that this protocol does not meet all of the necessary security requirements. Therefore we developed an enhanced mutual key agreement protocol for mobile RFID-enabled devices that alleviates these concerns. We further show that our protocol can enhance data security and provide privacy protection for the reader in an unsecured mobile RFID environment, even in the presence of an active adversary.

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The Design and Implementation of the Fire Spot Display System Using s Smart Device (스마트 기기를 이용한 화점 표출 시스템의 설계 및 구현)

  • Kim, Sang-Gi;Kim, Dong Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1287-1292
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    • 2018
  • In case of fire, the information related with the fire need to be provided to fire fighters in order to extinguish the fire efficiently. However, existing fire detection systems have the problem not to provide the data of the fire to fire fighters visually. In this paper, we propose the fire spot system using a cloud server to solve this problem. In the proposed system, the sensors installed in a building collect the gas and temperature data and store them into the cloud database using a wireless network. For fire fighters in the field, the details and history of the fire spot are displayed visually on top of the blue print retrieved from the cloud database using a smart device.

IoT data analytics architecture for smart healthcare using RFID and WSN

  • Ogur, Nur Banu;Al-Hubaishi, Mohammed;Ceken, Celal
    • ETRI Journal
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    • v.44 no.1
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    • pp.135-146
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    • 2022
  • The importance of big data analytics has become apparent with the increasing volume of data on the Internet. The amount of data will increase even more with the widespread use of Internet of Things (IoT). One of the most important application areas of the IoT is healthcare. This study introduces new real-time data analytics architecture for an IoT-based smart healthcare system, which consists of a wireless sensor network and a radio-frequency identification technology in a vertical domain. The proposed platform also includes high-performance data analytics tools, such as Kafka, Spark, MongoDB, and NodeJS, in a horizontal domain. To investigate the performance of the system developed, a diagnosis of Wolff-Parkinson-White syndrome by logistic regression is discussed. The results show that the proposed IoT data analytics system can successfully process health data in real-time with an accuracy rate of 95% and it can handle large volumes of data. The developed system also communicates with a riverbed modeler using Transmission Control Protocol (TCP) to model any IoT-enabling technology. Therefore, the proposed architecture can be used as a time-saving experimental environment for any IoT-based system.

Regionalized TSCH Slotframe-Based Aerial Data Collection Using Wake-Up Radio (Wake-Up Radio를 활용한 지역화 TSCH 슬롯프레임 기반 항공 데이터 수집 연구)

  • Kwon, Jung-Hyok;Choi, Hyo Hyun;Kim, Eui-Jik
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.1-6
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    • 2022
  • This paper presents a regionalized time slotted channel hopping (TSCH) slotframe-based aerial data collection using wake-up radio. The proposed scheme aims to minimize the delay and energy consumption when an unmanned aerial vehicle (UAV) collects data from sensor devices in the large-scale service area. To this end, the proposed scheme divides the service area into multiple regions, and determines the TSCH slotframe length for each region according to the number of cells required by sensor devices in each region. Then, it allocates the cells dedicated for data transmission to the TSCH slotframe using the ID of each sensor device. For energy-efficient data collection, the sensor devices use a wake-up radio. Specifically, the sensor devices use a wake-up radio to activate a network interface only in the cells allocated for beacon reception and data transmission. The simulation results showed that the proposed scheme exhibited better performance in terms of delay and energy consumption compared to the existing scheme.

A Development of Healthcare Monitoring System Based on Internet of Things Effective

  • KIM, Song-Eun;MUN, Ji-Hui;KIM, Kyoung-Sook;KANG, Min-Soo
    • Korean Journal of Artificial Intelligence
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    • v.8 no.1
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    • pp.1-6
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    • 2020
  • The Recently there has been a growing interest in health care due to the COVID-19 situation. In this paper, we intend to develop a healthcare monitoring system to provide users with smart healthcare systems in line with the healthcare 3.0 era. The system consists of a wireless network between various sensors, Android smartphones, and OLEDs using Bluetooth, and through this, a health care monitoring system capable of collecting user's biometric information and managing health by receiving data values of sensors connected to Arduino. In conclusion, the user's BPM value was calculated using the heart rate sensor, and the exercise intensity can be adjusted through this. In addition, a step derivation algorithm is implemented using an acceleration sensor, and calorie consumption can be measured using the step and weight values. As such, the heart rate, step count, calorie consumption data can be transmitted to a smartphone application through a Bluetooth module and output, and can be output to an OLED for users who are not easy to access the smartphone. This healthcare monitoring system can be applied to various groups and technologies.

Development of Gas Sensor Monitoring Services using Smart Phone and Web Server (스마트폰과 웹 서버를 활용한 가스 센서 모니터링 서비스 개발)

  • Roh, Jae-Sung;Lee, Sang-Geun;Hwang, In-Gyu;Lee, Jeong-Moo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.1048-1050
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    • 2013
  • Mobile devices or smartphones are rapidly becoming the central computer and communication network device. Recently, smartphones are programmable and come with a growing set of cheap powerful embedded sensors, such as an accelerometer, digital compass, gyroscope, GPS, microphone, and camera. In this paper, we discuss the wireless gas sensing service architectural and develope the gas sensor monitoring services using smartphone and web server.

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Development of a dynamic sensing system for civil revolving structures and its field tests in a large revolving auditorium

  • Luo, Yaozhi;Yang, Pengcheng;Shen, Yanbin;Yu, Feng;Zhong, Zhouneng;Hong, Jiangbo
    • Smart Structures and Systems
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    • v.13 no.6
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    • pp.993-1014
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    • 2014
  • In civil engineering, revolving structures (RS) are a unique structural form applied in innovative architecture design. Such structures are able to revolve around themselves or along a certain track. However, few studies are dedicated to safety design or health monitoring of RS. In this paper, a wireless dynamic sensing system is developed for RS, and field tests toward a large revolving auditorium are conducted accordingly. At first, a wheel-rail problem is proposed: The internal force redistributes in RS, which is due to wheel-rail irregularity. Then the development of the sensing system for RS is presented. It includes system architecture, network organization, vibrating wire sensor (VWS) nodes and online remote control. To keep the sensor network identifiable during revolving, the addresses of sensor nodes are reassigned dynamically when RS position changes. At last, the system is mounted on a huge outdoor revolving auditorium. Considering the influence of the proposed problem, the RS of the auditorium has been designed conservatively. Two field tests are conducted via the sensing system. In the first test, 2000 people are invited to act as the live load. During the revolving process, data is collected from RS in three different load cases. The other test is the online monitoring for the auditorium during the official performances. In the end, the field-testing result verifies the existence of the wheel-rail problem. The result also indicates the dynamic sensing system is applicable and durable even while RS is rotating.

Scheduling Model for Centralized Unequal Chain Clustering (중앙 집중식 불균등 체인 클러스터링을 위한 스케줄링 모델)

  • Ji, Hyunho;Baniata, Mohammad;Hong, Jiman
    • Smart Media Journal
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    • v.8 no.1
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    • pp.43-50
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    • 2019
  • As numerous devices are connected through a wireless network, there exist many studies conducted to efficiently connect the devices. While earlier studies often use clustering for efficient device management, there is a load-intensive cluster node which may lead the entire network to be unstable. In order to solve this problem, we propose a scheduling model for centralized unequal chain clustering for efficient management of sensor nodes. For the cluster configuration, this study is based on the cluster head range and the distance to the base station(BS). The main vector projection technique is used to construct clustering with concentricity where the positions of the base stations are not the same. We utilize a multiple radio access interface, multiple-input multiple-output (MIMO), for data transmission. Experiments show that cluster head energy consumption is reduced and network lifetime is improved.

The IEEE 802.15.4e based Distributed Scheduling Mechanism for the Energy Efficiency of Industrial Wireless Sensor Networks (IEEE 802.15.4e DSME 기반 산업용 무선 센서 네트워크에서의 전력소모 절감을 위한 분산 스케줄링 기법 연구)

  • Lee, Yun-Sung;Chung, Sang-Hwa
    • Journal of KIISE
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    • v.44 no.2
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    • pp.213-222
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    • 2017
  • The Internet of Things (IoT) technology is rapidly developing in recent years, and is applicable to various fields. A smart factory is one wherein all the components are organically connected to each other via a WSN, using an intelligent operating system and the IoT. A smart factory technology is used for flexible process automation and custom manufacturing, and hence needs adaptive network management for frequent network fluctuations. Moreover, ensuring the timeliness of the data collected through sensor nodes is crucial. In order to ensure network timeliness, the power consumption for information exchange increases. In this paper, we propose an IEEE 802.15.4e DSME-based distributed scheduling algorithm for mobility support, and we evaluate various performance metrics. The proposed algorithm adaptively assigns communication slots by analyzing the network traffic of each node, and improves the network reliability and timeliness. The experimental results indicate that the throughput of the DSME MAC protocol is better than the IEEE 802.15.4e TSCH and the legacy slotted CSMA/CA in large networks with more than 30 nodes. Also, the proposed algorithm improves the throughput by 15%, higher than other MACs including the original DSME. Experimentally, we confirm that the algorithm reduces power consumption by improving the availability of communication slots. The proposed algorithm improves the power consumption by 40%, higher than other MACs.

USN-based Water Treatment Plant Facilities Data Management Techniques and Reliability (USN 기반 수직형 정수처리시설 데이터 최적관리 및 신뢰성 검증연구)

  • Jang, Sang-Bok;Shin, Gang-Wook;Hong, Sung-Taek;Lee, An-Kyu;Park, Hye-Mi;Chun, Myung-Geun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2736-2744
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    • 2013
  • In this paper, we present a Smart Water Treatment Plant using Zigbee USN devices and a real-time monitoring system in K-water Flow Meter Calibration Center Building. For verification, the data of vertical type WTP such as flow rate, pressure, water level and water temperature are obtained by the Zigbee USN devices, operating in 2.45 GHz band, and be wirelessly surveilled by the real-time monitoring system. The received data from the sensor is transmitted to the data processing device, and then the processed data can be monitored on a smart phone. Consequently, the pilot plant based on the low-cost and high-efficiency USN has been developed with the performance analysis for the communication network and remote monitoring system on mobile devices.