Return
Entropy-driven sensor deployment and source detection in hypergraphs
DOI:10.1016/j.eswa.2026.134058.png)
Abstract
En 中文
<ul class="list">
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0001">
The framework SSDH addresses sensor-based source detection in hypergraphs.
</div></span></li>
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0002">
Our deployment strategy maximizes coverage under limited sensor resources.
</div></span></li>
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0003">
The algorithm combines path uncertainty and topological distance for accuracy.
</div></span></li>
<li class="react-xocs-list-item"><span class="list-label">•</span><span class="list-content">
<div class="u-margin-s-bottom" id="p0004">
SSDH outperforms baselines by 5-30% on synthetic and empirical datasets.
</div></span></li>
</ul>
Keywords:
Sensor deployment
Source detection
Hypergraph
Information entropy
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W

