Mindmap
WSN Optimization
Inhalt der Mindmap
WSN Optimization
Coverage
- While reducing
- Time
- Energy
- # of nodes
- By considering
- Termination Condition
- We need to evaluate
- Dynamic sensing range
- Active/sleep schedule
- We then need to evaluate
- PAC
- ADT
- Energy used
- Time
- # of connected nodes
- U_a
- U_n
- We then need to evaluate
- Taking into account
- Comm. noise
- Multipath fading
- Which affect
- Shadowing
- which affect
- Doppler effect
- Localization uncertainty
- Multipath fading
- Implementation
- 2D/3D
- with/without obstacles
- Comm. noise
- Clustering
- Termination Condition
- By considering
- Time
- By considering
- Node Deployment
- Randomly
- Deterministic
- Hierarchical
- Node Reallocation
- Bio-Inspired Voronoi Based Algorithm
- Choose Algorithm
- Bio-Inspired
- Voronoi diagram
- Movement is based on
- Centroid
- single
- dual
- Furthest vertex
- midpoint between vertices
- midpoint between edges
- Centroid
- Movement is based on
- ACO
- PSO
- GA
- Voronoi diagram
- Physics Inspired
- Potential Field
- Virtual Force
- Classical
- Linear Programming
- non-linear
- Newton's 2nd law
- choice affects
- Bio-Inspired
- Rs value
- choose
- binary model
- probabilistic model
- choose
- Node Deployment
- While reducing
Connectivity
- While Reducing
- By considering
- Rs/Rc relation
- Nodes spacing
Increasing
Informationen
- Beschreibung
- Mindmap am WSN Optimization, erstellt von Khouloud Eledlebi am 19/02/2018.
- Erstellt von
- Khouloud Eledlebi
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