1 / 28

Large – Scale Sensor network

Large – Scale Sensor network. 2006 년 11 월 22 일 정광본. Index. Ubiquitous Sensor Network (USN) Motivation Technologies of USN Applications & Real Case References. Ubiquitous Sensor Network(1). Inexpensive, smaller, low-power communication devices

mahdis
Télécharger la présentation

Large – Scale Sensor network

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Large – Scale Sensor network 2006년 11월 22일 정광본

  2. Index • Ubiquitous Sensor Network (USN) • Motivation • Technologies of USN • Applications & Real Case • References

  3. Ubiquitous Sensor Network(1) • Inexpensive, smaller, low-power communication devices • A many number of nodes are deployed through physical space • Exponential growth in the underlying semiconductor technology • Provide dense sensing close to physical phenomena • Monitoring & controlling target environment • Process & Communicate data • Limited capability of processing data • smaller distance • Coordinate actions with other nodes

  4. Ubiquitous Sensor Network(2) Wireless sensor node for environmental monitoring [2]

  5. Motivation • 아직은 초보단계이지만 인간의 5감보다 더 우수한 성능의 센서가 속속 등장하고 있는데다 무선 네트워크화가 진행되고 있어 센서 네트워크는 또 한번의 IT 혁명을 예고한다. 유비쿼터스 환경을 구현하는 중심 수단으로서 센서 네트워크가 가장 먼저 꼽힌다. [삼성 종합기술연구소, 2005] [5]

  6. Technologies of USN • Autonomous cluster building technology [1] • To conduct scalable management by dividing the network into clusters. • How these clusters are formed • How to select the CHs dynamically according to the remaining battery power at each node and power supply status. • To improve energy conservation effect.

  7. Technologies of USN • Autonomous control technology for communication timing (1) [1] • The TDMA makes static assignments of communication slots and thus offers more efficient communication. • Require centralized management making advance settings a complex task for large-scale networks. • The CSMA-CA acquires communication slots in an autonomous yet dynamic manner, while preventing collisions. • Optimized allocation is difficult due to the overhead collision avoidance process

  8. Technologies of USN • Autonomous control technology for communication timing (2) [1] • Autonomous communication slot allocation method (Phase Diffusion Time division method) • Adaptable for large-scale network by applying the nonlinear oscillator theory • An efficient communication timing pattern is self-organized to reduce collision frequency r : Conventional data transmission 2r : timing control of communication

  9. Technologies of USN • Autonomous control technology for communication timing (2) [3] • Each node can transmit the data only in the phase interval of 0 < θi < Ǿc • In other phase interval, the node can receive the signal anytime as long as no collisions are detected.

  10. Apart from each other Technologies of USN • The dynamics of PDTD self-organizes an efficient phase difference pattern to eliminate potential collisional states from randomly assigned phase distribution in the network. • Node1 can communicate with node {0, 5, 6, 10}, but the collision may occur unless the phase difference is less than the phase margin of Ǿc. • A set of independent phases of node, which will not collide with each other is desired to be clustered and these clusters of phase is efficiently divided to improve throughput reservations.

  11. Technologies of USN • Positional detection technology [1] • To identify a location in which detected data originates or to trace moving objects • To control the transmission power by reducing the radio interference based on the position of wireless nodes. • radio waves • In order to lower costs, miniaturize and conserve the energy of wireless nodes.

  12. Technologies of USN • Software updating technology [1] • in order to correct problems with the numerous wireless nodes that have been established or to add on functions • an enormous task for large-scale networks, if the software needs to be rewritten for each node. • It will become possible to download various programs according to a particular location or situation, to realize wireless nodes with various required function.

  13. Technologies of USN • Security technology [1] • To protect the data that has been gathered on the server in a global manner • rather than concentrating on protecting local communications between individual nodes • The mechanism for authenticating nodes is important • Relatively easy for a malicious node to participate in the data transfer as one of the relaying nodes and tamper with the data. • Study on a method of local authentication without the use of a server • Peripheral nodes cannot be trusted during the authenticating process when use of a server to perform authentication.

  14. Applications & Real Case Forecast Ecosystem – 1 [4]

  15. Applications & Real Case Forecast Ecosystem – 2 [4]

  16. Applications & Real Case Forecast Ecosystem - 3 [4]

  17. Applications & Real Case Forecast Ecosystem – 4 [2]

  18. Applications & Real Case Counter Sniper System [4]

  19. Applications & Real Case Structure Health Monitoring – Golden Gate Bridge Monitoring [4]

  20. Applications & Real Case Agriculture Solution [4]

  21. Applications & Real Case Habitat Monitoring : Great Duck Island – 1 [4]

  22. Applications & Real Case Habitat Monitoring : Great Duck Island – 2 [4]

  23. Applications & Real Case Habitat Monitoring : Great Duck Island – 3 [4]

  24. Applications & Real Case Habitat Monitoring : Great Duck Island – 4 [4] • Size • Motes need to fit in burrows • Power • Low power consumption on the device • High capacity battery • Stable supply • Packaging • Provide adequate protection for electronics or proper conditions for sensors • Node reliability

  25. Applications & Real Case Smart Dust : mote - 1 [4]

  26. Applications & Real Case Smart Dust : mote – 2 [4]

  27. Related Company [4]

  28. Reference • [1] Shigeru Fukunaga, Tadamichi Tagawa, kiyoshi Fukui, Koichi Tanimoto, Hideaki Kanno : “Development of Ubiquitous Sensor Network”, Oki Technical Review October 2004/Issue 200 Vol.71 No.4 • [2] David Culler, Deborab Estrin, Mani Srivastava : “Overview of Sensor Networks”, IEEE computer society August 2004 • [3] Kosuke Sekiyama, Yuki Kubo, Shigeru Fukunaga, Masaaki Date : “Phase Diffusion Time Division method for Wireless Communication Network”, IEEE IECON 2004, November 2004 • [4] Daeyoung Kim : “Ubiquitous Sensor Network –ANTS : An evolvable Network of Timy Sensors – ,“http://ip.icat.or.kr/paper/upload/2006-04-20444707333d_USN.pdf • [5] 박현식 : “WSN(Wireless Sensor Network)기술 동향”, HN FOCUS vol.11 • [6] Y. Matsumura, K. Endo and S. Nakagawa : “Efficient Dispersion Calculation Method Using A Secret Lamp-type Dispersion Method”, Shingaku Giho, ISEC-2002-105, March 2003.

More Related