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Sensor network-based countersniper system
Abstract
An ad-hoc wireless sensor network-based system is presented that detects and accurately locates shooters even in urban environments. The system consists of a large number of cheap sensors communicating through an ad-hoc wireless network, thus it is capable of tolerating multiple sensor failures, provides good coverage and high accuracy, and is capable of overcoming multipath effects. The performance of the proposed system is superior to that of centralized countersniper systems in such challenging environment as dense urban terrain. In this paper, in addition to the overall system architecture, the acoustic signal detection, the most important middleware services and the unique sensor fusion algorithm are also presented. The system performance is analyzed using real measurement data obtained at a US Army MOUT (Military Operations in Urban Terrain) facility.
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Cited by
The design space of wireless sensor networks
Romer, K., & Mattern, F. (2004) · IEEE Wireless Communications · doi:10.1109/mwc.2004.1368897 · Cited by 1,512
A Survey on Sensor-Cloud: Architecture, Applications, and Approaches
Alamri, A., Ansari, W. S., Hassan, M. M., Hossain, M. S., Alelaiwi, A., & Hossain, M. A. (2013) · International Journal of Distributed Sensor Networks · doi:10.1155/2013/917923 · Cited by 398
Comparison of energy harvesting systems for wireless sensor networks
Gilbert, J. M., & Balouchi, F. (2008) · International Journal of Automation and Computing · doi:10.1007/s11633-008-0334-2 · Cited by 337
Multimodal Deep Learning for Activity and Context Recognition
Radu, V., Tong, C., Bhattacharya, S., Lane, N. D., Mascolo, C., Marina, M. K., & Kawsar, F. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3161174 · Cited by 281
Hartung, C., Han, R., Seielstad, C., & Holbrook, S. (2006) · Proceedings of the 4th international conference on Mobile systems, applications and services · doi:10.1145/1134680.1134685 · Cited by 273
Metadata
- Authors
- Simon, G., Maróti, M., Lédeczi, Á., Balogh, G., Kusy, B., Nádas, A., Pap, G., Sallai, J., & Frampton, K.
- Venue
- Proceedings of the 2nd international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2004-11-03
- Pages
- 1-12
- OpenAlex
- W2016460936
- Cited by
- 574
- References
- 0
- FWCI
- 23.79
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Sensor network-based countersniper system. https://app.cochat.ai/papers/10.1145/1031495.1031497
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- Simon, G., Maróti, M., Lédeczi, Á., Balogh, G., Kusy, B., Nádas, A., Pap, G., Sallai, J., & Frampton, K. (2004). Sensor network-based countersniper system. Proceedings of the 2nd international conference on Embedded networked sensor systems. https://doi.org/10.1145/1031495.1031497
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
