Systems and Downloads
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Systems [top]
| GENI WiMAX research
network in Metro Detroit Wayne State University, Ford Research, Intel Labs, Community Telecommunications Network |
WiMAX represents a latest broadband wireless access technology that employees cutting-edge wireless communication techniques such as MIMO and OFDMA, and it serves as a basic platform for evaluating broadband wireless access in real-world settings. WiMAX is expected to play a major role in areas such as smart grid, smart transportation, vehicular infotainment, and community Internet access. Towards building an experimental infrastrcuture for research, education, and application exploration, we are deploying a multi-sector/cell WiMAX network in Metro Detroit which supports handoff, virtualization, and scientific measurement. The WiMAX network will be connected via VLAN to the GENI backbone network. We are also developing and deploying a WiMAX mobile station platform that supports scientific measurement as well as application exploration. This GENI WiMAX network is expected to enable research, education, and application exploration in smart transportation, smart grid, wireless networked sensing and control, and community services.
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KanseiGenie:
Federated WSN Experimental Infrastructure Ohio State University, Wayne State University, USA |
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NetEye: Networked
Embedded Sensing Testbed (click here if you are on WSU/CS campus network) Wayne State University, Detroit, Michigan, USA |
Additional information: A Paper on NetEye | Kansei Genie Wiki
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Kansei:
Sensor Network Testbed for At-Scale Experiments Consisting
of 210 Extreme Scale
Motes (XSM) and 210
Extreme Scale Stargates (XSS), Kansei provides a testbed infrastructure
to conduct experiments with both IEEE 802.11 and mote networks.
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Our contributions to Kansei were 1) designing the 210-node
802.11
network such that link and network properties in Kansei mimic those
outdoor, 2) designing the experiment scheduler to enable flexible and
dependable experimentation, and 3) setting up the hardware and software
platforms for Kansei. To facilitate high-fidelity wireless network
experimentation, in particular, we have studied both indoor and outdoor
wireless link properties, and have co-designed the network system (such
as signal attenuators and small form-factor omni-directional antennae)
to enable high-fidelity experimentation with reconfigurable network
setup (e.g., node distribution density, wireless link reliability,
etc.).
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ExScal: Extreme Scaling in
Wireless Sensor Networks
DARPA Networked Embedded Systems Technology (NEST) field demonstration Avon Park, Florida, December 14, 2004. (Media: The Lanter news report, 2004.) |
Our contributions to the project were twofold.
First, to
provide real-time and reliable data transport over the IEEE 802.11b
mesh network of the ~210 Stargates, we studied the IEEE 802.11b link
properties (e.g., MAC transmission time and reliability) in the
presence of bursty event traffic, and accordingly we designed and
implemented a beacon-free routing protocol Learn On The Fly (LOF).
Instead of using beacon packets, LOF estimates link properties based on
data traffic itself. Since it models the network state in the presence
of data traffic, LOF chooses routes that incur shorter delay and less
energy consumption than those chosen by beacon-based protocols (e.g.,
those using beacon-based ETX metric). Second, to reduce channel
contention and to balance load at the XSM mote network, we assisted in
designing the routing protocol Logical Grid Routing (LGR).
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A
Line in the Sand DARPA Networked Embedded Systems Technology (NEST) field demonstration MacDill Air Force base, Florida, August 20, 2003. (Media: News report from CBS and ONN, Sept. 8, 2003; The cover story of News in Engineering, The |
Our major contribution to the project was designing and
implementing
mechanisms to transport, reliably and in real-time, large bursts of
data packets from different network locations to a base station (one
major technical challenge of the project). With existing messaging
services, only 50% data were successfully delivered and packet delivery
was also significantly delayed, which was insufficient for supporting
application logic. To tackle this challenge, we studied the limitations
of existing transport control techniques, and we designed a new
protocol Reliable Bursty Convergecast (RBC): to alleviate
retransmission-incurred channel contention, we introduced
differentiated contention control; to improve channel utilization and
to reduce ack-loss, we designed a window-less block acknowledgment
scheme that guarantees continuous packet forwarding (regardless of
packet as well as ack loss) and replicates the acknowledgment for a
packet. Moreover, we designed mechanisms to handle varying ack-delay
and to reduce delay in timer-based retransmissions. With RBC, 96% data
were successfully delivered in real-time such that the network goodput
was close to optimal.
Software Download [top]
TinyOS code for the Reliable-Bursty-Convergecast (RBC) protocol
TinyOS-1.x code for the RBC protocol. A paper about the RBC protocol is also available here.
Reliably fetching MAC feedback for IEEE 802.11 devices
We enhanced the Linux kernel and hostap driver to reliably expose MAC layer feedbak for each frame transmission.
TinyOS code for different data-driven link estimation & routing protocols in wireless sensor networks
TinyOS-1.x code for the L-* protocols. A paper comparing different data-driven link estimation methods is also available here.
TinyOS code for Delay-Constrained Packet Packing in Wireless Sensor Networks
TinyOS-2.x code for tPack protocol. A paper presenting tPack is also available here.