Name
Title | ||
|---|---|---|
Information fusion for efficient target detection in large-scale surveillance Wireless Sensor Networks |
Abstract | ||
|---|---|---|
Duality between cognitive wireless networking and WSN-based target detection systems.Novel analytical performance evaluation framework.Clustered and unclustered topologies are encompassed.CD/FA probabilities and energy consumption are evaluated.Existing trade-offs are quantified and design guidelines are provided. In this paper, we consider a surveillance scenario, where nodes of a Wireless Sensor Network (WSN) cooperate to detect an event of interest, e.g., the presence of a mobile target in a monitored region. The considered scenario refers, for example, to ELectronic-signals INTelligence (ELINT), since detection is based on sensing the presence of anomalous electromagnetic signals in the monitored area. Leveraging previous results in the field of cognitive wireless networking, we derive proper decision and fusion strategies. We investigate both clustered (where no direct communication between sensors and the Communication and Control center, C2, is allowed and intermediate data fusion is performed at Cluster Heads, CHs) and unclustered (with direct communications between sensor nodes and the C2). System performance is analyzed in terms of False Alarm (FA)/Correct Detection (CD) probabilities and energy consumption, quantifying inherent tradeoffs between these performance indicators. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.inffus.2017.02.002 | Information Fusion |
Keywords | Field | DocType |
Wireless Sensor Network (WSN),ELectronic-signals INTelligence (ELINT),False Alarm (FA),Correct Detection (CD),Clustering,Energy consumption | Wireless network,False alarm,Real-time computing,Artificial intelligence,Cluster analysis,Key distribution in wireless sensor networks,Network topology,Sensor fusion,Wireless sensor network,Energy consumption,Machine learning,Mathematics,Embedded system | Journal |
Volume | Issue | ISSN |
38 | C | 1566-2535 |
Citations | PageRank | References |
10 | 0.48 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Abrardo | 1 | 376 | 47.39 |
| Marco Martal | 2 | 10 | 0.48 |
| Gianluigi Ferrari | 3 | 1690 | 139.36 |