Large – Scale Sensor network

Large – Scale Sensor network

2006 년 11 월 22 일정광본

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

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

Ubiquitous Sensor Network(2)

Wireless sensor node for environmental monitoring [2]

Motivation 아직은 초보단계이지만 인간의 5 감보다 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]

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.

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

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

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 < cǾ

In other phase interval, the node can receive the signal anytime as long as no collisions are detected.

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.

Apart from each other

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.

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.

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.

Applications & Real Case

Forecast Ecosystem – 1 [4]

Applications & Real Case

Forecast Ecosystem – 2 [4]

Applications & Real CaseForecast Ecosystem - 3 [4]

Applications & Real CaseForecast Ecosystem – 4 [2]

Applications & Real CaseCounter Sniper System [4]

Applications & Real CaseStructure Health Monitoring – Golden Gate Bridge Monitoring [4]

Applications & Real CaseAgriculture Solution [4]

Applications & Real CaseHabitat Monitoring : Great Duck Island – 1 [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


Applications & Real CaseSmart Dust : mote - 1 [4]

Applications & Real CaseSmart Dust : mote – 2 [4]

Related Company [4]

Reference [1] Shigeru Fukunaga, Tadamichi Tagawa, kiyoshi Fukui, Koichi Tanimoto, Hi

deaki 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 Calculati

on Method Using A Secret Lamp-type Dispersion Method”, Shingaku Giho, ISEC-2002-105, March 2003.

Large – Scale Sensor network

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