• Title/Summary/Keyword: wireless sensor network

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Energy Efficiency Localization System Based On Wireless Sensor Network (무선 센서 네트워크 기반의 에너지 효율적인 위치 탐색 시스템)

  • Jung, Won-Soo;Oh, Young-Hwan
    • Proceedings of the KIEE Conference
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    • pp.497-498
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    • 2007
  • The most of important thing when we design a Wireless Sensor Network is resources. You have to consider energy efficient operation When you design Wireless Sensor Network. Because Sensor devices have a limited resources. In this paper, we proposed energy efficiency localization technique in Wireless Sensor Network. We used Cell ID technique for location search. This method can reduce power consumption and the network life time will be extension.

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Balancing Energy and Memory Consumption for Lifetime Increase of Wireless Sensor Network (무선 센서 네트워크의 수명 연장을 위한 에너지와 메모리의 균형 있는 소모 방법)

  • Kim, Tae-Rim
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.6
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    • pp.361-367
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    • 2014
  • This paper introduces balancing energy and memory consumption for lifetime increase of wireless sensor network. In cluster-based wireless sensor network, sensor nodes adjacent of cluster heads have a tendency to deplete their own battery energy and cluster heads occupy memory space significantly. If the nodes close to region where events occur frequently consume their energy and memory fully, network might be destroyed even though most of nodes are still alive. Therefore, it needs to balance network energy and memory with consideration of event occurrence probability so that network lifetime is increased. We show a method of balancing wireless sensor network energy and memory to organize cluster groups and elect cluster heads in terms of event occurrence probability.

Tunnel Inspection and Monitoring System by Wireless Sensor Network (무선센서네트워크를 이용한 터널 모니터링 시스템)

  • Kim Hyung-Woo;Han Jin-Woo
    • 한국정보통신설비학회:학술대회논문집
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    • pp.91-94
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    • 2006
  • In this paper, we deployed the tunnel inspection and monitoring system by wireless sensor network. It is shown that the wireless sensor network which is composed of sensor, wireless communication module, and gateway system can be applied to tunnel monitoring system. Sensors included herein are acceleration transducers, fire-alarm sensors, water-level sensors, and magnetic contact sensors. It is also found that the wireless sensor network can deliver sensing data reliably by ad-hoc networking technology. The gateway system that can send the sensing data to server by CDMA (code division multiple access) is developed. Finally, monitoring system is constructed by web service technology, and it is observed that this system can monitor the present state of tunnel without difficulties. Furthermore, the above system provides an alternative to inspect and monitor the tunnel efficiently where the conventional wired system cannot be applied.

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Cable tunnel monitoring system by wireless sensor network (무선센서 네트워크에 의한 통신구 모니터링 시스템 개발)

  • Kim, Hyung-Woo
    • 한국정보통신설비학회:학술대회논문집
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    • pp.176-180
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    • 2007
  • In this study, we deployed the cable tunnel inspection and monitoring system by wireless sensor network. It is shown that the wireless sensor network which is composed of sensor, wireless communication module, and gateway can be applied to cable tunnel monitoring system. Sensors considered herein are flame detection sensor, flood detection sensor, intruder detection sensor, and temperature sensor, etc. It is also found that the wireless sensor network can deliver sensing data reliably by wireless sensing technology. The gateway system that can transmit sensed data to server by CDMA is developed. Monitoring system is constructed by web service technology, and it is observed that this system can monitor the present state of tunnel without difficulties. The system provides an alternative to inspect and monitor the tunnel efficiently where the conventional wired system is infeasible.

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Cable Tunnel Monitoring System by Wireless Sensor Network (무선센서 네트워크에 의한 지하 통신구 터널 모니터링 연구)

  • Kim, Hyung-Woo;Moon, Tae-Gyun
    • 한국방재학회:학술대회논문집
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    • pp.549-552
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    • 2008
  • In this study, we deployed the cable tunnel inspection and monitoring system by wireless sensor network. It is shown that the wireless sensor network which is composed of sensor, wireless communication module, and gateway can be applied to cable tunnel monitoring system. Sensors considered herein are flame detection sensor, flood detection sensor, intruder detection sensor, and temperature sensor, etc. It is also found that the wireless sensor network can deliver sensing data reliably by wireless sensing technology. The gateway system that can transmit sensed data to server by CDMA is developed. Monitoring system is constructed by web service technology, and it is observed that this system can monitor the present state of tunnel without difficulties. The system provides an alternative to inspecting and monitoring the tunnel efficiently where the conventional wired system is infeasible.

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A Lightweight Detection Mechanism against Sybil Attack in Wireless Sensor Network

  • Shi, Wei;Liu, Sanyang;Zhang, Zhaohui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3738-3750
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    • 2015
  • Sybil attack is a special kind of attack which is difficult to be detected in Wireless Sensor Network (WSN). So a lightweight detection mechanism based on LEACH-RSSI-ID (LRD) is proposed in this paper. Due to the characteristic of Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol, none of nodes can be the cluster head forever.

Tree-based Deployment Algorithm in Mobile Sensor Networks (이동 센서 네트워크에서 트리 기반의 배치 알고리즘)

  • Moon, Chong-Chun;Park, Jae-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.11
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    • pp.1138-1143
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    • 2006
  • Sensor deployment is an important issue in the mobile wireless sensor network. In this paper, we propose a deployment algorithm for mobile sensor network to spread out mobile sensor nodes widely as well as regularly. Since the proposed algorithm uses tree topology in deploying the sensor nodes, calculating power as well as spreading speed can be reduced compare to other deployment algorithms. The performance of the proposed algorithm is simulated using NS-2 simulator and demonstrated.

Implementation of Bio-Signals Transmission and Storage System Using ZigBee Sensor Network (ZigBee 센서 네트워크를 이용한 생체신호 전송 및 저장 시스템의 구현)

  • Kim, Young-Joon;Lee, In-Sung
    • Proceedings of the IEEK Conference
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    • pp.131-132
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    • 2007
  • In this paper, we designed and implemented bio-signals transmission and storage system using wireless sensor network based on ZigBee. Wireless sensor network is organized with routing protocol based on tree structure. The data is transmitted to monitoring system based on SIP. ZigBee will be used as various combinations with other wireless network technologies for application purposes.

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Routing Algorithm of Wireless Sensor Network for Building Automation System (빌딩 자동화를 위한 무선 센서 네트워크 라우팅 프로토콜)

  • Lu, Delai;Hong, Seung-Ho
    • Proceedings of the IEEK Conference
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    • pp.45-47
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    • 2009
  • Wireless Sensor Network(WSN) has been very popular in unattended surveillance systems recently. For Applying WSN into Building Automation system(BAS), a novel hierarchial network structure and static routing algorithm which eliminates the scalability limitation of Zigbee are proposed in this paper. The static routing algorithm relying on the hierarchial network address reduces the computational complexity to a great extent and has a real-time performance which satisfies urgent applications well.

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Boundary Node Detection in Wireless Sensor Network (무선 센서 네트워크의 경계노드 검출)

  • Kim, Youngkyun
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.367-372
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    • 2018
  • This paper proposed an algorithm that detects boundary nodes effectively in wireless sensor network. A boundary node is a sensor that lies on the border of network holes or the outer boundary of wireless sensor network. Proposed algorithm detects boundary nodes using only the position information of sensors. In addition, to improve detect performance, sensor computes the overlap area of nearest sensor first. Simulation is performed to validate the process of the proposed algorithm. In Simulation, several obstacles are placed and varying number of sensors in the range of 500~1500 are deployed in the area in order to reflect real world. The simulation results shows that proposed algorithm detects boundary nodes effectively that are located on the border of holes and the outer boundary of wireless sensor network.