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WSN Optimization

Khouloud Eledlebi English

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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
      - Taking into account
        Comm. noise
        Multipath fading
        Which affect
        Shadowing
        which affect
        Doppler effect
        Localization uncertainty
        Implementation
        2D/3D
        with/without obstacles
      - Clustering
- 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
        ACO
        PSO
        GA
      - Physics Inspired
        Potential Field
        Virtual Force
      - Classical
        Linear Programming
        non-linear
        Newton's 2nd law
      - choice affects
  - Rs value
    - choose
      - binary model
      - probabilistic model
Connectivity
- While Reducing
- By considering
  - Rs/Rc relation
  - Nodes spacing
Increasing

Description: Mind Map on WSN Optimization, created by Khouloud Eledlebi on 19/02/2018.
Created by: Khouloud Eledlebi
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