Difference between revisions of "Research Areas on Self-Organizing Systems"
From Self-Organization Wiki
(New page: [Image:Research areas group2.pdf] Image:Research areas group2.pdf) |
|||
| (8 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
| − | [Image:Research areas group2.pdf] | + | == Downloads == |
| + | Research Areas Presentation Group 2: [[Image:Research areas group2.pdf]] | ||
| − | + | == Research Ideas - Basic Research == | |
| + | |||
| + | *Building blocks for designing (robust) SOS (FH, HdM) | ||
| + | **Modeling (HdM) | ||
| + | **Interaction models | ||
| + | **Design methods (WE,MT) | ||
| + | **Taxonomy of measures/methods/faults | ||
| + | **What makes (biological, social, engineered, ...) SOS robust (MT) | ||
| + | *Error removal in robust self-organizing systems (TB,WE) | ||
| + | **(Topology) reconfiguration to overcome error propagation/malicious attacks (RdS, CB) | ||
| + | *Testing and validation of (robust) SOS | ||
| + | *Robust software/system architectures (RdS) | ||
| + | **SO software objects | ||
| + | *Self-organizing Systems of Systems (SOSOS) (AB, RdS) | ||
| + | *Security and SOS | ||
| + | **Researching the tradeoffs of robustness/effort (CB) | ||
| + | **Co-evolving a robust and an attacking SOS (AB) | ||
| + | *Desynchronization and distributed coverage (CB) | ||
| + | **Spreading out in time and space | ||
| + | * ANN / SANN Reconfiguration (MT) | ||
| + | * Robust synchronization (CB) | ||
| + | |||
| + | == Research Ideas - Applied/Technology Research == | ||
| + | |||
| + | * Security in sensor networks (HdM, TB) | ||
| + | **Intrusion detection | ||
| + | *SO routing/topology control | ||
| + | **Internet, mesh networks | ||
| + | **Overlay networks | ||
| + | *Traffic systems | ||
| + | **Car-to-car communication (preventing traffic jam waves) | ||
| + | **SO Traffic lights | ||
| + | **Train/airtraffic scheduling | ||
| + | *SO (distributed) coverage of rescue/police agents (related to desynchronization) | ||
| + | *Distributed provisioning/resource allocation | ||
| + | **Energy | ||
| + | **Warehouses / supply chain management | ||
| + | *SO (open source) software development | ||
| + | *Matlab (Scilab) toolbox for modeling SOS | ||
| + | * Robotics (AvR) | ||
| + | ** Sensor Fusion | ||
| + | ** UAV SO Drones | ||
| + | ** Micro Satelites | ||
| + | |||
| + | == Group 4 == | ||
| + | |||
| + | '''Group:''' Nikolaj Marchenko, Bernhard Rinner, Felix Pletzer, Roland Tusch, Stefan Wieser, Markus Quaritsch | ||
| + | |||
| + | === Research areas on SOS that fit in the expertise of your group === | ||
| + | |||
| + | All group members are involved in Lakeside Labs research projects. Thus, there are two main areas of expertise respectively interest: | ||
| + | * SO in networked systems | ||
| + | * SO for resource allocation, resource management | ||
| + | |||
| + | Special research focus in this domains in the context of the SOMA, Relay, and cDrones project are: | ||
| + | * resource allocation / resource management: | ||
| + | ** how can self-organization be used for sensor selection (i.e., to detect or localize specific events), sensor analysis, and sensor fusion | ||
| + | ** how to use self-organizing mechanisms to place/distribute/coordinate sensors in order to cover certain geographical areas | ||
| + | ** SO for collaborative QoS provisioning | ||
| + | ** SO for adaptive content representation | ||
| + | * networked systems | ||
| + | ** networked control: distributed control/coordination of swarms of robots/UAVs | ||
| + | ** network communication | ||
| + | |||
| + | === Comments during discussion=== | ||
| + | |||
| + | ''All mentioned topics are related to ICT. Is there any bridge to biology?'' | ||
| + | |||
| + | Indeed, swarming of robots/UAVs for example can be inspired by animals, for example. Or the temporal synchronization of sensor nodes in a network can employ the 'firefly algorithm'. | ||
Latest revision as of 18:01, 16 July 2009
Contents
Downloads
Research Areas Presentation Group 2: File:Research areas group2.pdf
Research Ideas - Basic Research
- Building blocks for designing (robust) SOS (FH, HdM)
- Modeling (HdM)
- Interaction models
- Design methods (WE,MT)
- Taxonomy of measures/methods/faults
- What makes (biological, social, engineered, ...) SOS robust (MT)
- Error removal in robust self-organizing systems (TB,WE)
- (Topology) reconfiguration to overcome error propagation/malicious attacks (RdS, CB)
- Testing and validation of (robust) SOS
- Robust software/system architectures (RdS)
- SO software objects
- Self-organizing Systems of Systems (SOSOS) (AB, RdS)
- Security and SOS
- Researching the tradeoffs of robustness/effort (CB)
- Co-evolving a robust and an attacking SOS (AB)
- Desynchronization and distributed coverage (CB)
- Spreading out in time and space
- ANN / SANN Reconfiguration (MT)
- Robust synchronization (CB)
Research Ideas - Applied/Technology Research
- Security in sensor networks (HdM, TB)
- Intrusion detection
- SO routing/topology control
- Internet, mesh networks
- Overlay networks
- Traffic systems
- Car-to-car communication (preventing traffic jam waves)
- SO Traffic lights
- Train/airtraffic scheduling
- SO (distributed) coverage of rescue/police agents (related to desynchronization)
- Distributed provisioning/resource allocation
- Energy
- Warehouses / supply chain management
- SO (open source) software development
- Matlab (Scilab) toolbox for modeling SOS
- Robotics (AvR)
- Sensor Fusion
- UAV SO Drones
- Micro Satelites
Group 4
Group: Nikolaj Marchenko, Bernhard Rinner, Felix Pletzer, Roland Tusch, Stefan Wieser, Markus Quaritsch
Research areas on SOS that fit in the expertise of your group
All group members are involved in Lakeside Labs research projects. Thus, there are two main areas of expertise respectively interest:
- SO in networked systems
- SO for resource allocation, resource management
Special research focus in this domains in the context of the SOMA, Relay, and cDrones project are:
- resource allocation / resource management:
- how can self-organization be used for sensor selection (i.e., to detect or localize specific events), sensor analysis, and sensor fusion
- how to use self-organizing mechanisms to place/distribute/coordinate sensors in order to cover certain geographical areas
- SO for collaborative QoS provisioning
- SO for adaptive content representation
- networked systems
- networked control: distributed control/coordination of swarms of robots/UAVs
- network communication
Comments during discussion
All mentioned topics are related to ICT. Is there any bridge to biology?
Indeed, swarming of robots/UAVs for example can be inspired by animals, for example. Or the temporal synchronization of sensor nodes in a network can employ the 'firefly algorithm'.
