TTX5 Demonstrations and Posters
SPINE: Framework for Body Sensor Networks
SPINE is a software framework for
the design of Body Sensor Network (BSN) applications. SPINE enables dynamic
configuration and control of signal processing and sensing functions on TinyOS-based
sensor nodes. The framework allows for efficient implementation of real-time
signal processing applications via an extensible function library that can
be activated dynamically. In addition, SPINE manages node communication to
increase reliability. SPINE can greatly decrease development time of BSN
applications, increase application interoperability and allow sensor network
hardware to be easily repurposed for a variety of applications. We present
a demo of a healthcare monitoring application which performs real-time motion
classification by activating local processing functions on the nodes in real-time.
Wireless Sensor Monitoring System and solutions
Wireless sensor monitoring system
application, solutions, H/W platform and software based on TinyOS technology.
We provide WSN motes, various application and solutions using this mote that
is Telos platform. Application, solution and platform are watch type sensor
node for healthcare, WSN node applied NAND Flash memory, network security
and air quality monitoring system and so on. And many WSN projects in Korea
will be introduced via poster and brochure.
Urban Wireless Stream Gauge/ Hydrograph Monitor
Delivering sensor readings from
beyond the confines of a building's envelope to the internet using intranets
and other available communication channels has very specific engineering
challenges. The driving force for sensors beyond a building's envelope is
the need for low cost, reliable, real-time data, for businesses that are
solving real world complex problems. The user experience, equipment management,
and data management for business users is as much a requirement as the reliable
collection of the data. Ease of wireless systems installation, commissioning
and low overhead costs are engineering solutions that need to be built into
the product early to be attractive to customers that want the data and not
the headaches associated with wireless telemetry. The Azonde series of wireless
instruments is a multi-parameter stage gauge - measuring water height and
temperature. It is designed to reduce total life cycle costs of ownership.
Powering options include a) an integrated solar panel/power storage and a
unique urban antenna design, b) standard solar power & battery input
ranges c) any combination of the previous two plus low cost 'D' cell batteries.
Wireless ranges depend on the customer's site and geographical constraints-theoretical
ranges in free space for a) 2.5Ghz are 1km/0.6miles/3300ft b) 900Mhz with
low cost antenna configurations are 10Kms/6miles c) wherever there is cellular
access. The Azonde can be configured for other types of data collection with
the SDI-12 interface.
Evaluating the Hairy-Edge Hypothesis: The Effects
of Wireless Link Variability on Sensornet Communication Protocols
Wireless links display a wide range
of variability in packet reception rate over both time and space. The rate
of variability, or churn, of the links are fundamental to the overall behavior
of collection, dissemination, and routing in low-power wireless networks.
In our work, we explore effects of link churn on the upper layers of communication
and try to quantify the effects on network topologies, neighbor selection,
and overhead in communication.
Sensor centric mote platforms
Sensor centric mote platforms are
important for the wireless sensor network service application. This demo.
includes small form factor Kmote, Umote and Kmote2 which are general purpose
mote and various sensor boards as well. Kmote and Umote are logically same
with UCB Telos rev. B platform with very small hardware form factor and support
TinyOS 1.x and 2.x. In order to speed up the market of wireless sensor network,
it is necessary to have well-defined mote platform and various sensor boards
for commercial application. Kmote and Umote are easy to interface with PIR
motion sensor board, door magnetic sensor board, electric power consumption
sensor board, CMOS camera board. On the gateway side, ARM9 based gateway
(KWSG, USG-100) with Kmote and Umote interface supports various network interface
simultaneously, such as Power Line Communication, RS-285, GPRS, CDMA, etc.
Sensor Look : IDC(Internet Data Center) based
wireless sensor network service
Sensor Look easily delivers wireless
sensor network service to customers. It based on the efforts to reduce computing
resource in local area and move it to Internet area. In the Sensor Look,
user can handle the wireless sensors like small Internet devices with light-weight
gateway device and application software at IDC. The Sensor Look system is
consist of wireless sensor devices with TinyOS, light-weight gateway with
Linux, and IDC server application. The target of Sensor Look system is providing
low cost wireless sensor network application with service framework based
on IDC servers.
6LoWPAN: Extending IP to Wireless Sensor Networks
In this demonstration, we show the
capabilities of a IPv6/6LoWPAN running on typical wireless sensor nodes.
In addition to IP, nodes communicate using familiar protocols, such as ICMPv6
at the network layer, UDP and TCP at the transport layer and Telnet and HTTP
at the application layer. By communicating with standard protocols, it is
now possible for nodes to communicate directly with other more traditional
computing devices across a variety of links and even over the Internet. Standard
protocols also allow easier integration into existing networks, supporting
familiar networking concepts no different than any other IP device. Familiar
APIs based on BSD sockets lower the barrier to network programming in wireless
sensor networks. Supporting the IP stack is a responsive, low-power link-layer
and robust routing protocol. The IPv6/6LoWPAN implementation is built entirely
in nesC using TinyOS.
Auditing the use of CPM for Long Term Reception
Power Modeling in TOSSIM
Released versions of the TOSSIM
simulator include a noise-modeling algorithm but assume that reception power
is constant. Experiments, however, show that this assumption is not accurate.
In this work we explore the application of concurrent pattern matching (CPM)
to model power variations. CPM was first introduced by  for the modeling
of short-term noise patterns. As in , experimental traces form the basis
of the simulated trace. It becomes a nontrivial problem to fill in the value
of the power if some packets are not received in the experimental trace.
We explore a possible algorithm that fills in the power trace and performs
the simulation using CPM. To check the validity of this approach, we also
collected data from several experiments and compared them to the corresponding
TOSSIM simulations.  H. Lee, A. Cerpa, and P. Levis. Improving wireless
simulation through noise modeling. In IPSN 07: Proceedings of the 6th international
conference on Information processing in sensor networks, pages 21?30, New
York, NY, USA, 2007. ACM Press.
Rasmus Ulslev Pedersen
TinyOS is a small operating for small (wireless) sensors and LEGO MINDSTORMS
NXT is a platform for embedded systems experimentation: The combination of
NXT and TinyOS is NXTMOTE. We demonstrate nxtmote to nxtmote communication
with continuous sensing and sending/receiving. The embedded ARM7 is fully
programmable via the LEGO open source files and the freely available hardware
description and schematics. This project is available in tinyos-2.x-contrib
and downloadable from Sourceforge under the project name nxtmote.