| Project ID |
BPN572 |
| Website |
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| Start Date |
Tue 2010-Aug-10 17:24:37 |
| Last Updated |
Thu 2011-Feb-03 18:37:54 |
| Abstract |
The Floating Sensor Network system is a fleet of robotic sensor packages with water
quality sensors, GPS receivers, and 802.15.4 wireless communication modules. They are deployed in
riverine and estuarine environments to observe the water flow and propagation of constituents such
as salt, nitrates, and other contaminants. Their observations will be used for real-time estimates
and forecasts of the system state. The connectivity is dynamic and unpredictable, making a
centralized scheme challenging. Our project will develop networking algorithms and methods to
enable reliable decentralized data collection and fleet coordination for long-term, distributed
sensing missions.
Time Synchronized Channel Hopping (TSCH) is an existing medium access control scheme which enables
robust communication through channel hopping and high data rates through synchronization. It is
based on a time-slotted architecture, and its correct functioning depends on a schedule which is
typically computed by a central node. We are developing a scheduling algorithm for TSCH networks
which both is distributed and which copes with mobile nodes.
Two scheduling algorithms are presented. Aloha-based scheduling allocates one frequency channel for
broadcasting advertisements for new neighbors. Reservation-based scheduling augments Aloha-based
scheduling with a dedicated slot for targeted advertisements based on gossip information. We have
assessed the performance of the two proposed algorithms against the optimal case by simulating a
mobile ad-hoc network with frequent connectivity changes. Reservation-based scheduling performs
significantly better than Aloha-based scheduling, suggesting that the improved network reactivity is
worth the increased algorithmic complexity and resource consumption. Our next step is to realize
these algorithms on the Floating Sensor Network system and validate their performance in real-world
deployments. |
| Status |
Continuing |
| Funding Source |
Federal |
| IAB Research Area |
Wireless, RF & Smart Dust |
| Researcher(s) |
Andrew Tinka, Kevin Weekly, Thomas Watteyne |
| Advisor(s) |
Alexandre M. Bayen, Kristofer S.J. Pister |
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