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Technologies Under the Surface of Ubiquitous Computing : Wireless Sensor Networks

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Title: Technologies Under the Surface of Ubiquitous Computing : Wireless Sensor Networks


1
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Ken Mikelinich
  • University of New Hampshire

2
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Opportunities
  • Emerging systems engineering of many
    technologies
  • Wireless technologies
  • Software technologies
  • Hardware technologies
  • Embedded Designs
  • Power technologies
  • Constraint based engineering
  • New problems and applications
  • Security
  • Multi-discipline sensor technology
  • Low cost to entry
  • Great capstone curriculum for engineering
    students

3
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Goals
  • Introduce Wireless Sensor Networks (WSN) systems
  • Identify key technologies prevalent in WSN
  • Relate these technologies as foundational
    technologies for UbiComp systems.

4
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Introduction
  • What are WSN systems?
  • Wireless Sensor Networks (WSN) are networks that
    consist of small, independent, collaborating
    wireless devices (nodes) that are cost-effective
    and intelligent solutions for various
    applications in automation, healthcare,
    environmental monitoring, safety, and security
  • Vendors include CrossBow, Sun, Jennic, Ember,
    Zensys, Sensinode, Meshnetics

5
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Technologies
  • Power Technologies
  • Battery
  • Today Li Ion and Nickel Metal Hydride and Nickel
    Cadmium
  • Tomorrow Nano-structures 10 times the storage
    capacity and w/o structural damages to silicon.
  • Generation
  • Scavenging via vibrations using MEMs w/
    piezoelectric (used today w/ tire pressure
    gauges)
  • Photosynthetic electrochemical cells (PECs).
  • Multiple Exciton Generation (MEG) Quantum dot
    solar
  • CIGS thin film solar
  • Management
  • Sleep cycles for various nodes or components
    (limit routes and antenna)
  • Network Architecture (routing, QoS)
  • Specialized power management APIs
  • CPU thread and process prioritizations

6
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Network Technologies
  • Satellite, WLAN, Mobile and WPAN
  • Wireless Personal Area Network (WPAN)
  • What are they? Low power, close proximity (10m
    or less), wireless networks
  • Zigbee, Zwave, Bluetooth, and Ultra Wide Band
    (UWB)
  • Zigbee
  • Open technology based on IEEE 802.15.4
  • 802.15.4 provides the PHY and Sub-layer MAC
    specifications
  • Zigbee provides Networking and Applications
    Layers
  • RF at 2.45GHz, 915MHz, 868MHz
  • New challenges
  • Time synchronization
  • Self organization
  • Dropped channel links, obstructions ? poor QoS
    and noisy channels
  • Power limitations and security

7
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Security Technology
  • Access is easy, usually deployed in public places
  • Authentication
  • Public Key Cryptography (PKC) (asymmetric key)
  • RSA, Elliptical Curve Cryptology (ECC)
  • Dual key more computationally intensive power
    usage, calculation time and real-estate
  • Can handle digital signatures and non-repudiation
  • ECC about the best today (small key size, and
    strong security)
  • Encryption
  • Symmetric key
  • Data Encryption Standard (DES), Advance
    Encryption Standard (AES)
  • Fast less intensive, smaller key sizes
  • Key management does not scale well.
  • Done both at application and MAC layers

8
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • Conclusion
  • Systems can be very small yet complex
  • Great platform to tie in engineering principles
  • Many new applications to be explored
  • Low costs to entry.

9
Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
  • References
  • M. Weiser and J. Brown , THE COMING AGE OF CALM
    TECHNOLOGY, 1996, Xerox PARC
  • R. Williams, et al., In Vivo Measurement of Human
    Tissue Compliance, 2007 SAE Digital Human
    Modeling Conference DHM1 Advanced Measuring
    Methods/3D Human Modeling June 12-14, 2007,
    Seattle, Washington, USA
  • L. Brown and J. Williamson, Shake2Talk
    Multimodal Messaging for Interpersonal
    Communication, 2007
  • Weiser, The Computer of the 21st Century, 1991
    Scientific American
  • R. Want et al., Disappearing Hardware, 2002,
    Pervasive Computing
  • Sami Ronkainen, et al, Tap Input as an Embedded
    Interaction Method for Mobile Devices, TEI'07,
    15-17 Feb 2007, Baton Rouge, LA, USA
  • Panu Hämäläinen, et al., Security in Wireless
    Sensor Networks Considerations and Experiments,
    2006, Springer-Verlag
  • Y Ciu, et al., Nanowire Lithium-Ion Batteries as
    Electrochemical Energy Storage for Electric
    Vehicles, 2008
  • M. Hanna et. Al., Quantum Dot Solar Cells High
    Efficiency through Multiple Exciton Generation,
    2004
  • K. Ramanathan, et al., Properties of
    High-Efficiency CIGS Thin-Film Solar Cells, 2005,
    NREL
  • K. Fischer, Batteries Not Included Big Steps in
    Small-Scale Energy Sources, Berkely Science
    Review,
  • M. Satyanarayanan, Pervasive ComputingVision and
    Challenges, 2001 IEEE Personal Communications
  • Clarkson University (2007, October 22). New
    Wireless Bridge Sensors Powered By Passing
    Traffic. ScienceDaily. Retrieved October 26,
  • K. Lam, et al., A MEMS Photosynthetic
    Electrochemical Cell Powered by Subcellular Plant
    Photosystems, JOURNAL OF MICROELECTROMECHANICAL
    SYSTEMS, VOL. 15, NO. 5, OCTOBER 2006
  • X. Jiang, et al, An Architecture for Energy
    Management in Wireless Sensor Networks,
  • Sun Microsystems, SunSPOT Developers Guide, 2008
  • IEEE, Part 15.4 Wireless Medium Access Control
    (MAC) and Physical Layer (PHY) Specifications for
    Low-Rate Wireless Personal Area Networks (WPANs)
  • T. Collier and C. Taylor, Self-Organization in
    Sensor Networks, 2004, UCLA Department of
    Organismic Biology, Ecology, and Evolution
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