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Time Synchronization Issues In Wireless Sensor Network

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Title: Time Synchronization Issues In Wireless Sensor Network


1
Time Synchronization Issues In Wireless Sensor
Network
Meeyoung Cha (mycha_at_cosmos)Advanced Network
LabCS Dept, KAIST
2
Outline
  • What is WSN?
  • Currently-deployed Motes
  • Characteristics of WSN
  • Tiered Architecture
  • Routing In-network Processing
  • Automatic Localization
  • Storage, Search, Retrieval
  • Actuation
  • Time Synchronization
  • Summary
  • References

3
A glimpse of the sensor-networked world
  • Imagine
  • high-rise buildings self-detect structural faults
    (e.g., weld cracks)
  • schools detect airborn toxins at low
    concentrations, trace contaminant transport to
    source
  • alert swimmers to dangerous bacterial levels
  • earthquake-rubbled building infiltrated with
    robots and sensors locate survivors, evaluate
    structural damage
  • ecosystems infused with chemical, physical,
    acoustic, image sensors to track global change
    parameters
  • battlefield sprinkled with sensors that identify
    track friendly/foe air, ground vehicles,
    personnel

4
Characteristics of Sensor Network
  • low-cost, rapid deployment, self-organizing, and
    fault tolerance
  • Application areas heath, military, and home.
  • Large number of sensor nodes that are densely
    deployed.
  • The links can be formed by radio, infrared, or
    optical media.
  • Nodes use their processing abilities to locally
    carry out simple computations and transmit the
    required and partially processed data.
  • Ad hoc networks are not suitable for the sensor
    networks because of their unique features and
    application requirements.

5
Proposed Algorithm
encoding bit size , resource constraint
initialization
transition probability graph, codeword graph
greedy mapping
reduction
satisfy resource?
mapping
mapping table
6
Currently-deployed Motes
  • COTS (Commercial-Off-The-Shelf) Specs.
  • 4 MHz, 8 bit MCU (Amtel), 512 bytes RAM, 8K ROM
  • 900 MHz radio (RF Monolithics) 10-100 ft. range
  • DOT25fx6mm, MICA55x32x25 mm
  • DC 3V, 315 MHz, TinyOS, 1.8mA

7
Tiered Network
Research Directions
  • Many densely distributed micro nodes
  • Fewer sparsely distributed macro nodes
  • Each micro node clusters with the closest macro
    node.

8
Routing In-network Processing
Research Directions
  • One example parameter visiting pattern

Directed-diffusion
Source node
Intermediate node with data
Sink node
Intermediate node without data
9
Routing In-network Processing
Research Directions
  • Internet, ad-hoc wireless network
  • Focus on building the network a transport
    mechanism
  • (A way to route packets to a particular
    endpoint)
  • Above VS. Wireless sensor network
  • For efficiency, do as much in-network processing
    as possible
  • (Aggregating similar data, filtering redundant
    information, ..)
  • Ex) report the location where the following bird
    call is heard
  • -gt report only time and location of a match

10
Directed Diffusion
Research Directions
  • Basic idea
  • Data-centric routing
  • name data (not nodes) with externally relevant
    attributes data type, time, location of node,
    SNR.
  • Nodes (sinks) request data, sends interests
    to the network, data gathered at source node
    matching interests flow toward sinks.
  • diffuse requests and responses across network
    using application driven routing (e.g., geo
    sensitive or not)
  • support in-network aggregation and processing
  • Data sources publish data, data clients subscribe
    to data
  • however, all nodes may play both roles
  • node that aggregates/combines/processes incoming
    sensor node data becomes a source of new data
  • true peer to peer system?

11
Automatic Localization
Research Directions
  • Goal Detect a stationary phenomenon P
  • (P water table that has been polluted within a
    field of chemical sensors)
  • Time Location
  • Size, shape, speed,
  • Capability of localizing themselves after being
    deployed.
  • GPS (Global Positioning System) provides solution
    where available (with differential GPS providing
    finer granularity)
  • GPS not always available, too costly, too bulky
  • other approaches under stud

12
Storage Wired Sensor Network
Research Directions
  • Warehouse
  • Data extracted from sensors, stored on server
  • Query processing takes place on server later

13
Storage Wireless Sensor Network
Research Directions
  • Sensor Database System
  • Standard database assumptions no longer hold
  • Resource constraints
  • Store data locally and query on-demand from users
  • Storage space -gt in-network processing
  • supports distributed query processing over sensor
    network

14
Actuation
Research Directions
  • No longer a passive system
  • 1. Enhance the sensing task pointing cameras,
    repositioning
  • 2. Affect the environment open valves, emit
    sound
  • Sensor Mobility
  • Contaminated soil region is determined with more
    precision

15
Time Synchronization
Research Directions
  • Please wait.

16
An Autonomic Routing Framework for Sensor Networks
TTDD
Diffusion
17
Whats so different with ad-hoc?
  • The number of sensor nodes
  • Sensor nodes are densely deployed
  • Sensor nodes are prone to failures
  • The topology of a sensor network changes very
    frequently
  • Broadcast communication vs. point-to-point
    communication
  • Sensor nodes are limited in power, computational
    capacities, and memory
  • Sensor nodes may not have global identification
    (ID)

18
Why Cant Adopt Internet Protocols?
  • Internet routes data using IP Addresses in
    Packets and Lookup tables in routers
  • humans get data by naming data to a search
    engine
  • many levels of indirection between name and IP
    address
  • embedded, energy-constrained (un-tethered,
    small-form-factor), unattended systems cant
    tolerate communication overhead of indirection
  • special purpose system function(s) dont need
    want Internet general purpose functionality
    designed for elastic applications.
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