Radioactive Target Detection Using Wireless Sensor Network
The detection of radioactive target is becoming more important recently in public safety and national security. By using the physical law for nuclear radiation isotopes, this chapter proposes a statistical method for wireless sensor network data to detect and locate a hidden nuclear target in a large study area. The method assumes multiple radiation detectors have been used as sensor nodes in a wireless sensor network. Radiation counts have been observed by sensors and each is composed of a radiation signal plus a radiation background. By considering the physical properties of radiation signal and background, the proposed method can simultaneously detect and locate the radioactive target in the area. Our simulation results have shown that the proposed method is effective and efficient in detection and location of the nuclear radioactive target. This research will have wide applications in the nuclear safety and security problems.
KeywordsDecision and value fusion Likelihood ratio test Maximum likelihood estimates Signal plus background model Radiation and radioactive isotopes Wireless sensor network
This research was supported by the United States National Science Foundation Grant SES-07-52657.
- 1.Lewis FL (2004) Wireless sensor networks. smart environments: technologies, protocols, and applications. (eds) Cook DJ, Das SK Wiley, New YorkGoogle Scholar
- 2.Elson J, Estrin D Sensor networks: a bridge to the physical world. In: Raghavendra CS, Sivalingam M, Znati T (eds) by wireless sensor network. Kluwer Academic, Norwell (2004)Google Scholar
- 6.Clouqueur T, Ramanathan P, Saluja K, and Wang K (2001) value-fusion versus decision fusion for fault-tolerance in collaborative target detection in sensor networks.In: Proceeding of 4th annual conference on information fusion, pp 25–30Google Scholar
- 7.Brennan SM, Maccabe AB, Mielke A.M. and Torney DC (2004) D.C. radiation detection with distributed sensor networks. IEEE Computer 37:(8)Google Scholar
- 8.Chong C, Kumar S (2003) Sensor networks: evolution, opportunities, and challenges.In: Proceedings of IEEE, AugustGoogle Scholar
- 9.Brooks RR, Iyengar SS (1998) Multi-sensor fusion: fundamentals and applications with software. Prentice Hall, New JerseyGoogle Scholar
- 13.Feldman GJ, Cousins R (1998) Unified approach to the classical statistical analysis of small signals. Phys Rev 57:3873–3889Google Scholar
- 17.Wan H, Zhang T, and Zhu Y (2010) Detecting and locating hidden radioactive sources with spatial statistical methods. Ann Oper Res (in press)Google Scholar