Name
Title | ||
|---|---|---|
Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena |
Abstract | ||
|---|---|---|
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradient-based decentralized controller that dynamically adjusts the depth of a network of underwater sensors to optimize sensing for computing maximally detailed volumetric models. We prove that the controller converges to a local minimum. We implement the controller on an underwater sensor network capable of adjusting their depths. Through simulations and experiments, we verify the functionality and performance of the system and algorithm. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1869983.1870008 | SenSys |
Keywords | Field | DocType |
underwater phenomenon,full volume,underwater sensor,gradient-based decentralized controller,adaptive decentralized control,global environment,controller converges,maximally detailed volumetric model,underwater sensor network,local minimum,sensor network,design,decentralized control | Control theory,Underwater sensor networks,Decentralised system,Computer science,Real-time computing,Wireless sensor network,Underwater | Conference |
Citations | PageRank | References |
11 | 0.65 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carrick Detweiler | 1 | 299 | 34.12 |
| Marek Doniec | 2 | 84 | 8.02 |
| Mingshun Jiang | 3 | 17 | 1.78 |
| Mac Schwager | 4 | 930 | 72.33 |
| Robert Chen | 5 | 104 | 11.21 |
| Daniela Rus | 6 | 7128 | 657.33 |