Title: Technologies Under the Surface of Ubiquitous Computing : Wireless Sensor Networks
1Technologies Under the Surface of Ubiquitous
Computing Wireless Sensor Networks
- Ken Mikelinich
- University of New Hampshire
2Technologies 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
3Technologies 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.
4Technologies 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
5Technologies 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
6Technologies 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
7Technologies 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
8Technologies 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.
9Technologies 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