Spatial Coverage Optimization

Spatial Coverage Optimization is a systematic methodology in distributed sensing that determines the optimal placement and configuration of sensor nodes to maximize the extent and uniformity of monitored physical space while minimizing redundancy and resource expenditure.

114

Publications

3.9K

Citations

438

Authors

248

Institutions

Publications per year

2017–2026

57

Authors

438

  1. MA
    Mir Abolfazl Mostafavi

    Université Laval, Canada

    3 publications · 52 citations

    3

    h-index

  2. MA
    Meysam Argany

    University of Tehran, Iran

    3 publications · 52 citations

    3

    h-index

  3. KD
    Kai Daniel

    TU Dortmund University, Germany

    3 publications · 96 citations

    3

    h-index

  4. SR
    Sebastian Rohde

    TU Dortmund University, Germany

    3 publications · 96 citations

    3

    h-index

  5. CW
    Christian Wietfeld

    TU Dortmund University, Germany

    3 publications · 96 citations

    3

    h-index

1–5 of 438

Venues

  1. IEEE Access

    5 publications · 243 citations

    5

    h-index

  2. Magnetic Resonance in Medicine

    MRM · 4 publications · 171 citations

    4

    h-index

  3. Journal of Transport Geography

    3 publications · 97 citations

    3

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 56 citations

    2

    h-index

  5. Remote Sensing

    2 publications · 49 citations

    2

    h-index

1–5