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Ad Hoc Networks

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Title: Ad Hoc Networks


1
Wireless Sensor Network Prabhakar Dhekne Bhabha
Atomic Research Centre
2
Why Talk About Wireless?
  • Wireless communication is not a new technology
    but cell phones have brought revolution in
    wireless communication
  • Wireless Technology has changed the way
  • Organizations individuals work live today
  • In less than 10 years
  • World has moved from fixed to wireless networks
  • Allowing people, mobile devices computers talk
    to each other, connect without a cable
  • Only available option for field data acquisition
  • Interconnectivity with multiple devices
  • Using radio-waves, sometimes light
  • Frees user from many constrains of traditional
    computer phone system

3
Ubiquitous Computing
  • Future State of Computing Technology?
  • Mobile, many computers
  • Small Processors
  • Low Power Consumption
  • Relatively Low Cost

4
Ubiquitous Computing
  • Small, mobile, inexpensive computers..everywhere!
  • Fade into the background of everyday life
  • Computers everywhere provides potential for data
    collection.sensors!
  • Temperature
  • Light
  • Sound
  • Motion
  • Pressure
  • Many others!!!

5
Growth in Wireless Systems
  • Rapid growth in cellular voice services
  • Cell phones everywhere!
  • Several wireless technology options have been
    available for the last 10-20 yrs
  • mini cell stations using existing standards like
    CDMA or GSM
  • wireless PABX using PCS standards such as DECT or
    PHS/PACS
  • satellite and microwave backhaul
  • Above solutions OK for voice low-speed data,
    but do not meet emerging needs for broadband
    access and mobile data

6
Mobile Computing
  • Identify/develop mobile computing solutions and
    effector systems integrated with existing
    wireless infrastructure
  • Improve health care via enhanced training and
    more effective decision making
  • To maximize the amount of medical data available
    for health surveillance

7
Mobile Healthcare Technologies
  • Mobile Healthcare can be regarded as the
    integration of technologies of medical sensors,
    mobile computing, and wireless communications
    into a system of medical assistance.

8
Application Examples
  • Monitoring of patients vital signs
  • Diabetes
  • Asthma
  • Hypertension
  • ECG
  • Predictive usage in order to minimize the needs
    for medication
  • Improving the quality of life

9
Potential Benefits
  • Increasing the physician productivity and
    efficiency.
  • Wireless sensors enable the patients freedom of
    movements and therefore promote new ways of
    monitoring the patient.
  • Providing clinicians remote access to patients
    information eliminates the need to manually
    locate and search through patients data.
  • Enabling telemonitoring in emergency scenarios
    and making remote diagnosis possible.

10
Mobile Healthcare
  • The provision of Real Time patient care.
  • No matter where the clinician is
  • No matter where the patient is
  • To apply physiological and medical knowledge,
    advanced diagnostics, simulations, and effector
    systems integrated with information and
    telecommunications for the purposes of enhancing
    operational and medical decision-making,
    improving medical training, and delivering
    medical treatment across all barriers

11
Typical Demo System
  • The patient is provided with a wearable wireless
    sensor. The signal from the sensor is captured in
    a Node situated in a mobile phone.
  • The system allows ubiquitous access to patients
    data and medical information in real-time via the
    mobile phone.
  • The medical data is stored processed in a
    server, and can be used for establishing
    diagnostics and treatments.

12
Application server
  • Application server centralises the received data
    and presents it to the user as
  • Raw data
  • Formatted as graphs

App Server
DB
13
Wireless Technology
  • Emerging mainstream wireless technologies provide
    powerful building blocks for next-generation
    applications
  • WLAN (IEEE 802.11 WiFi) hot-spots for broadband
    access, Bluetooth
  • PDAs and laptops with integrated WLANs
  • Broadband Wireless access technology- MAN
    (Alternative to DSL)
  • IEEE 802.16 10-30 Km 40 Mbps WiMax
  • Wide area wireless data also growing
  • SMS, GPRS, Edge, CDMA2000 1xEV-DO (2.4 Mbps data
    optimized)
  • Variety of interesting devices (e.g. Treo,
    Sidekick)
  • Networking of embedded devices
  • Smart spaces, sensor networks (IEEE 802.15.4a-
    ZigBee)
  • Context-aware mobile data services and web
    caching for information services
  • Wireless sensor nets for monitoring and control
  • VOIP for integrated voice services over wireless
    data networks

14
IrDA P2P wireless
  • Infra-red Data Association
  • Based on Half Duplex Point-to-Point concept
  • Frequency below the red end of spectrum making it
    invisible
  • Eliminate the need for cables
  • Clear line-of-sight
  • Short-range (few meters)
  • Simplest, most prevailing wireless standard
  • No fixed speed 9.6 Kbps, 4Mbps
  • Discovery Mode to find out data rate, size
  • Token based transmission
  • IrDA ports on PDA, Laptops USB sticks
  • Remote Control in TV, VCR, Air-conditioner

Port costs less than Rs. 1000
15
Bluetooth Wireless PAN
  • Bluetooth (Named after Danish King Harold
    Bluetooth)
  • Based on Master-Slave concept
  • Short-range (10 meters)
  • Eliminate the need for cables
  • Operates in 2.4 GHz ISM band
  • 720 Kbps
  • Three modes of operation park/hold/sniff
  • Piconet Scatternet (master7 slaves)
  • Interference due to multiple piconets and IEEE
    802.15.1 home/person LAN
  • To eliminate interference frequency hoping
    technique used
  • Ominidirectional with both voice data

M1
S2
S1
S1
S2
M 1/S1
Piconet 1
Piconet 2
Port costs about Rs. 2000
16
Wi-Fi Wireless LAN (Hot Spot)
  • Wireless Fidelity based LAN
  • Most popular on Laptops
  • Replacement to wired LAN
  • Connectivity on the move
  • Short-range (100 meters)
  • Ad Hoc and Base station mode
  • Security provided at physical layer
  • Operates in 2.4 GHz and 5 GHz
  • Collection of IEEE standards 802.11a/b/g 11 Mpbs
    54 Mbps
  • Low range, requires more power hence not suitable
    for PDAs
  • Difficult to control access security
  • Set up is expensive

Ad Hoc Net
Access Point Net
17
Wi-Max Wireless MAN
  • Wireless Max
  • High Speed 40-70 Mbps
  • Mid-range (30 Kmeters)
  • Eliminate the need for cables
  • Saving of wired cost
  • Operates in 2.4 GHz ISM band
  • IEEE standard 802.16

18
Issues in Wireless Networking
  • Infrastructured networks
  • Handoff
  • location management (mobile IP)
  • channel assignment

19
Issues in Wireless Networking
  • Infrastructureless networks
  • Wireless MAC
  • Security (integrity, authentication,
    confidentiality)
  • Ad Hoc Routing Protocols
  • Multicasting and Broadcasting

20
Indoor Environments
  • Three popular technologies
  • - High Speed Wireless LANs (802.11b (2.4GHz, 11
    Mbps), 802.11a (5GHz, 54 Mbps higher)
  • - Wireless Personal area Networks PANs (IEEE
    804.14)
  • HomeRF
  • Bluetooth, 802.15
  • - Wireless device networks
  • Sensor networks, wirelessly networked robots

21
What is an Ad hoc Network
  • Collection of mobile wireless nodes forming a
    network without the aid of any infrastructure or
    centralized administration
  • Nodes have limited transmission range
  • Nodes act as a routers

22
Ad Hoc Networks
  • Disaster recovery
  • Battlefield
  • Smart office
  • Rapidly deployable infrastructure
  • Wireless cabling impractical
  • Ad-Hoc no advance planning
  • Backbone network wireless IP routers
  • Network of access devices
  • Wireless untethered
  • Ad-hoc random deployment
  • Edge network Sensor networks, Personal Area
    Networks (PANs), etc.

23
Ad Hoc Network
  • Characteristics
  • Dynamic topologies
  • Limited channel bandwidth
  • Variable capacity links
  • Energy-constrained operation
  • Limited physical security
  • Applications
  • Military battlefield networks
  • Personal Area Networks (PAN)
  • Disaster and rescue operation
  • Peer to peer networks

24
Security Challenges in Ad Hoc Networks
  • Lack of Infrastructure or centralized control
  • Key management becomes difficult
  • Dynamic topology
  • Challenging to design sophisticated secure
    routing protocols
  • Communication through Radio Waves
  • Difficult to prevent eavesdropping
  • Vulnerabilities of routing mechanism
  • Non-cooperation of nodes
  • Vulnerabilities of nodes
  • Captured or Compromised

25
Security
  • Challenges in ad hoc network security
  • The nodes are constantly mobile
  • The protocols implemented are co-operative in
    nature
  • There is a lack of a fixed infrastructure to
    collect audit data
  • No clear distinction between normalcy and anomaly
    in ad hoc networks
  • Secure the Routing Mechanism
  • A mechanism that satisfies security attributes
    like authentication, confidentiality,
    non-repudiation and integrity
  • Secure the Key Management Scheme
  • Robust key certification and key distribution
    mechanism

26
Scalable, reliable, consistent, distributed
service
Services while on move
services
Sensor services exercise monitorbiometrics
traffic information
Calendar service Integrate dynamic traffic
schedule Doctor prescription servicetrack health
indicatorsDoctor write prescription Follow me
kiosk service receive and transmit
messages Fridge shopping serviceFridge records
stockSuggests shopping based on recipeShopping
guide in store
Sensors mobile devices
27
Tourist guide
  • Stuttgart tourist guide
  • Like MapQuest except on mobile device
  • Mapping local interests
  • Museums historical sites
  • Shopping restaurants Sample Data
  • Small text with description, operating hours
  • Local map

28
How it works
  • Info station
  • Island of wireless station
  • Embedded in area
  • Users have cheap low bandwidth components
  • Integrated to network with high quality
    connection
  • Requires some overlap to manage transition
    between stations for hand off
  • Scaleable by load balancing
  • Each center contains unique information
  • Overhead of communication
  • Initialize externally specified adjusts quickly

29
Map-on-the-move
  • Provide appropriate map
  • County resolution driving in car
  • Info stations small area high bandwidth
  • Remainder lower bandwidth

30
Problems in a Mobile Environment
  • Variable Bandwidth
  • Disconnected Operation
  • Limited Power
  • Implications on distributed file system support?

31
Constraints in mobile computing
  • PDA vs. Laptop vs. cell phones
  • Cellular modem connection Failure prone
  • Space office vs. city vs. county
  • Not continuous connectivity required
  • Data such as pictures text files not streaming
    audio and video
  • Heterogeneous devices

32
MANET Mobile Ad hoc Networks
A collection of wireless mobile nodes dynamically
forming a network without any existing
infrastructure and the relative position dictate
communication links (dynamically changing).
From DARPA Website
33
Rapidly Deployable Networks
  • Failure of communication networks is a critical
    problem faced by first responders at a disaster
    site
  • major switches and routers serving the region
    often damaged
  • cellular cell towers may survive, but suffer from
    traffic overload and dependence on (damaged)
    wired infrastructure for backhaul
  • In addition, existing networks even if they
    survive may not be optimized for services needed
    at site
  • significant increase in mobile phone traffic
    needs to be served
  • first responders need access to data services
    (email, www,...)
  • new requirements for peer-to-peer communication,
    sensor net or robotic control at the site
  • Motivates need for rapidly deployable networks
    that meet both the above needs -gt recent advances
    in wireless technology can be harnessed to
    provide significant new capabilities

34
Infostations Prototype System for Rapid
Deployment Applications
  • Outdoor Infostations with radio backhaul
  • for first responders to set up wireless
    communications infrastructure at a disaster site
  • provides WLAN services and access to cached data
  • wireless backhaul link
  • includes data cache
  • Project for development of
  • high-speed short-range radios
  • 802.11 MAC enhancements
  • content caching algorithm software
  • hardware integration including solar panels,
    antennas and embedded computing device with WLAN
    card

WINLABs Outdoor Infostations Prototype (2002)
35
Ad-Hoc Wireless Network
  • A flexible, open-architecture ad-hoc WLAN and
    sensor network testbed ...
  • open-source Linux routers, APs and terminals
    (commercial hardware)
  • Linux and embedded OS forwarding and sensor nodes
    (custom)
  • radio link and global network monitoring/visualiza
    tion tools
  • prototype ad-hoc discovery and routing protocols

802.11b PDA
Management stations
Radio Monitor
802.11b Linux PC
Forwarding Node/AP (custom)
AP
Commercial 802.11
Router network with arbitrary topology
Compute storage servers
Sensor Node (custom)
PC-based Linux router
36
What is a WSN?
Observer The end user/computer
Sensor The device
Phenomenon The entity of interest to the observer
  • A network that is formed when a set of small
    sensor devices that are deployed in an ad hoc
    fashion no predefined routes, cooperate for
    sensing a physical phenomenon.
  • A Wireless Sensor Network (WSN) consists of base
    stations and a number of wireless sensors.
  • Is simple, tiny, inexpensive, and battery-powered

37
Why Wireless Sensors Now?
  • Moores Law is making sufficient CPU performance
    available with low power requirements in a small
    size.
  • Research in Materials Science has resulted in
    novel sensing materials for many Chemical,
    Biological, and Physical sensing tasks.
  • Transceivers for wireless devices are becoming
    smaller, less expensive, and less power hungry
    (low power tiny Radio Chips).
  • Power source improvements in batteries, as well
    as passive power sources such as solar or
    vibration energy, are expanding application
    options.

38
Typical Sensor Node Features
  • A sensor node has
  • Sensing Material
  • Physical Magnetic, Light, Sound
  • Chemical CO, Chemical Weapons
  • Biological Bacteria, Viruses, Proteins
  • Integrated Circuitry (VLSI)
  • A-to-D converter from sensor to circuitry
  • Packaging for environmental safety
  • Power Supply
  • Passive Solar, Vibration
  • Active Battery power, RF Inductance

39
Sensor Node Hardware
Sensor Actuator ADC Microprocessor
Powering Unit Communication Unit (RF
Transceiver) GPS
  • Portable and self-sustained (power,
    communication, intelligence).
  • Capable of embedded complex data processing.

40
Sensors and Wireless Radio
  • Types of sensors
  • -Pressure,
  • -Temperature
  • -Light
  • -Biological
  • -Chemical
  • -Strain, fatigue
  • -Tilt
  • Capable to survive harsh environments (heat,
    humidity, corrosion, pollution etc).
  • No source of interference to systems being
    monitored and/or surrounding systems.
  • Could be deployed in large numbers.

41
Wireless Sensor Networks
  • ZigBee Wireless Communication Protocol
  • Based on the IEEE 802.15.4 standard
  • Small form factor
  • Relatively Inexpensive
  • Low Power Consumption
  • Low Data Rate of Communication
  • Self Organising, Self-Healingmulti-hop nodes
  • Integrated Sensors
  • Ideal for Wireless Sensor Network Applications

42
WSN APPLICATIONS
  • Potential for new intelligent applications
  • Smart Homes
  • Process monitoring and control
  • Security/Surveillance
  • Environmental Monitoring
  • Construction
  • Medical/Healthcare
  • Implemented with Wireless Sensor Networks!

43
Medical and Healthcare Appln
Remote Databases
Backbone Network
Net Switch
In Hospital Physician
Net Switch
Wireless Remote consultation
Possibility for Remote consulting (including
Audio Visual communication)
44
Medical and Healthcare Applications
Sensors equipped with BlueTooth
Source USC Web Site
45
iBadge - UCLA
  • Investigate behavior of children/patient
  • Features
  • Speech recording / replaying
  • Position detection
  • Direction detection / estimation (compass)
  • Weather data Temperature, Humidity, Pressure,
    Light

46
Other Examples
  • MIT d'Arbeloff Lab The ring sensor
  • Monitors the physiological status of the wearer
    and transmits the information to the medical
    professional over the Internet
  • Oak Ridge National Laboratory
  • Nose-on-a-chip is a MEMS-based sensor
  • It can detect 400 species of gases and transmit a
    signal indicating the level to a central control
    station
  • VERICHIP Miniaturised, Implanted, Identification
    Technology

47
Structural Health Monitoring
Accelerometer board prototype, Ruiz-Sandoval,
Nagayama Spencer, Civil E., U. Illinois
Urbana-Champaign
Semi-active Hydraulic Damper (SHD), Kajima
Corporation, Japan
Model bridge with attached wireless sensors, B.F.
Spencers Lab, Civil E., U. Illinois U-C
48
Application in Environment Monitoring
  • Measuring pollutant concentration
  • Pass on information to monitoring station
  • Predict current location of pollutant volume
    based on various parameters
  • Take corrective action

49
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50
Vehicular Traffic Control
51
VMesh Distributed Data Sensing, Relaying,
Computing via Vehicular Wireless Mesh Networks
Project at The University of California, Davis
US FCC allocated 5.850 to 5.925 GHz dedicated
short range communication (DSRC) Road side to
Vehicle Vehicle to vehicle communication
52
Network characteristics of WSN
  • Generally, the network
  • Consists of a large number of sensors (103 to
    106)
  • Spread over large geographical region (radius 1
    to 103 km)
  • Spaced out in 1, 2, or 3 dimensions
  • Is self-organizing
  • Uses wireless media
  • May use intermediate collators

53
Sensor Network Topology
  • Hundreds of nodes require careful handling of
    topology maintenance.
  • Predeployment and deployment phase
  • Numerous ways to deploy the sensors (mass,
    individual placement, dropping from plane..)
  • Postdeployment phase
  • Factors are sensor nodes position change,
    reachability due to jamming, noise, obstacles
    etc, available energy, malfunctioning, theft,
    sabotage
  • Redeployment of additional nodes phase
  • Redeployment because of malfunctioning of units

54
Organization into Ad Hoc Net
  • Individual sensors are quite limited.
  • Full potential is realized only by using a large
    number of sensors.
  • Sensors are then organized into an ad hoc
    network.
  • Need efficient protocols to route and manage data
    in this network.

55
Network Topologies
  • Star
  • Single Hop Network
  • All nodes communicate directly with Gateway
  • No router nodes
  • Cannot self-heal
  • Range 30-100m
  • Consumes lowest power

56
Network Topologies
  • Mesh
  • Multi-hopping network
  • All nodes are routers
  • Self-configuring network
  • Node fails, network self-heals
  • Re-routes data through shortest path
  • Highly fault tolerant network
  • Multi-hopping provides much longer range
  • Higher power consumptionnodes must always
    listen!

57
Network Topologies
  • Star-Mesh Hybrid
  • Combines of stars low power and
  • meshs self-healing and longer range
  • All endpoint sensor nodes can communicate with
    multiple routers
  • Improves fault tolerance
  • Increases network communication range
  • High degree of flexibility and mobility

58
Self-Organizing WLAN
  • Opportunistic ad-hoc wireless networking concepts
    starting to mature
  • Initial use to extend WLAN range in user-deployed
    networks
  • Based on novel auto-discovery and multi-hop
    routing protocols
  • extends the utility and reach of low-cost/high
    speed WiFi equipment

Wired Network Infrastructure
AP1
AP2
802.11 Access to AP
Ad-hoc radio link (w/multi-hop routing
Ad-hoc Infrastructure links
Ad-hoc access To FN
Forwarding Node (FN)
Mobile Node (MN) (end-user)
Forwarding Node (FN)
Self-organizing Ad-hoc WLAN
59
How to get information from Data-centric Sensor
Networks?
  • Types of Queries
  • Historical Queries Analysis of data collected
    over time
  • One Time Queries Snapshot view of the network
  • Persistent Queries Periodic monitoring at long
    and regular intervals
  • Routing required to respond to a Query
  • Application specific
  • Data centric
  • Data aggregation capability desirable
  • Need to minimize energy consumption

60
Software Framework
MAC layer (Tiny OS, routing) Configuration
Table Power consumption status replacement
strategy Sensor Data Management Middleware Applica
tion (passing parameters via API)
61
Technical challenges
  • Sensor design
  • Self-organizing network, that requires
    0-configuration of sensors
  • Random or planned deployment of sensors, and
    collators
  • Auto-addressing
  • Auto-service discovery
  • Sensor localization

62
Power Consumption
  • Limited Power Source
  • Battery Lifetime is limited
  • Each sensor node plays a dual role of data
    originator and data router (data processor)
  • The malfunctioning of a few nodes consumes lot of
    energy (rerouting of packets and significant
    topological changes)

63
Environmental Factors
  • Wireless sensors need to operate in conditions
    that are not encountered by typical computing
    devices
  • Rain, sleet, snow, hail, etc.
  • Wide temperature variations
  • May require separating sensor from electronics
  • High humidity
  • Saline or other corrosive substances
  • High wind speeds

64
Historical Comparison
Consider a 40 Year Old Computer
65
Advances in Wireless Sensor Nodes
  • Consider Multiple Generations of Berkeley Motes

66
Summary
  • Sensor networks will facilitate one to address
    several societal issues
  • Early-warning systems
  • Disaster mitigation
  • Applications in other sectors
  • Security, transportation, irrigation
  • Technology is available today
  • Research into new sensors
  • Needs experimentation, pilot deployment
  • Lots needs to be done in Software (OS, MAC,
    Application)
  • While cost is an issue today, it will not be so
    tomorrow

67
References
  • Wireless Mobile Systems Prof Dharma Prakash
    Agrawal and H. Deng
  • Integrating Wireless Technology in the Enterprise
    by Williams Wheeler, Elsevier Digital Press
  • Circuits Systems for Wireless Communications
    Edited by Markus Helfenstein and George S.
    Moschytz, Kluwer Academic Publishers

68
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