Call for Paper - January 2024 Edition
IJCA solicits original research papers for the January 2024 Edition. Last date of manuscript submission is December 20, 2023. Read More

Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks

Print
PDF
 
Download Full Text
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 5
Year of Publication: 2014
Authors:
Amira A. A. Elmagid
Rabie A. Ramadan
Shahinaz M. Al-tabbakh
S. M. El-ghanam
Mahmoud E. Marie
S. A. Kamh
10.5120/17525-8092

Amira A A Elmagid, Rabie A Ramadan, Shahinaz M Al-tabbakh, S M El-ghanam, Mahmoud E Marie and S A Kamh. Article: Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks. International Journal of Computer Applications 100(5):37-45, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Amira A. A. Elmagid and Rabie A. Ramadan and Shahinaz M. Al-tabbakh and S. M. El-ghanam and Mahmoud E. Marie and S. A. Kamh},
	title = {Article: Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {5},
	pages = {37-45},
	month = {August},
	note = {Full text available}
}

Abstract

The recent increasing threat of radiological weapons technologies has highlighted the need for superior detection of hazardous emission sources. One promising area of technological development is radiation source detection using tracing mobile robot. In this paper, a novel algorithm based on GA is proposed for localization problem of such dangerous source using single robot. In which, if the estimated source location is gathered, the algorithm process is being terminated. The adaptive GA based on fuzzy logic is also introduced for comparison. Simulation results indicate that the proposed adaptive genetic algorithm have a better performance and faster than GA. In addition, the paper presents an investigation of radiation source localization by addressing the explanation of two novel algorithms that are assumed when considering group of autonomous mobile robots system.

References

  • Jren-Chit Chin, et. al. "Identi?cation of Low-Level Point Radioactive Sources Using a Sensor Network ", ACM Transactions on Sensor Networks, 7( 3), 2010, Article 21.
  • Alan L. Melnick, "Biological, Chemical, and Radiological Terrorism Emergency Preparedness and Response for the Primary Care Physician", Springer, USA, 2008.
  • John Fay, "Encyclopedia of security management",2nd edition, USA, 2007.
  • Chee-Yee Chong and Srikanta P. Kumar, " Sensor Networks: Evolution, Opportunities, and Challenges", IEEE, 91( 8), 2003, pp. 1247-1256.
  • Nor Azlina Ab. Aziz, Kamarulzaman Ab. Aziz, and Wan Zakiah Wan Ismail, "Coverage Strategies for Wireless Sensor Networks", World Academy of Science, Engineering and Technology, 50, 2009, 145-150.
  • You-Chiun Wang, Chun-Chi Hu, and Yu-Chee Tseng," Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network", IEEE Transactions On Mobile Computing, 7 (2), 2008, 262 - 274.
  • Peter Csaba Ölveczky and Stian Thorvaldsen, "Formal modeling, performance estimation, and model checking of wireless sensor network algorithms in Real-Time Maude", Theoretical Computer Science, 410, 2009, 254-280.
  • Ajith Gunatilaka, et. al, "Radiological Source Localisation", Defence Science and Technology Organisation, Commonwealth of Australia, 2007.
  • Chandy, M. et. al, "Networked sensing systems for detecting people carrying radioactive material", International Conference on Networked Sensing Systems, IEEE, 2008, 148-155.
  • Annie Liu, "Simulation and Implementation of Distributed Sensor Network for Radiation Detection", Thesis In Partial Fulfillment of the Requirements for the Degree of Master of Science, California Institute of Technology Pasadena, California, 2010.
  • Qing Mao, Tiehui Li, Ping Dong, Ke Ding, and Tinghuai Ma, "Sensor Grid-Based Radiation Detection System in High Energy Physics" Third International Conference on,Convergence and Hybrid Information Technology, 2008. ICCIT '08. 1, 11-13 Nov. 2008, 830-836.
  • Cheng Xiang-jin, Shi Yi-kai, Yang Ning, and Huang Lei, "Design of radiation detection system with WSN," Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 26-30 July 2011, 946-949.
  • Qing-Hao Meng et. al, "Mobile Robots Odor Localization with an Improved Ant Colony Algorithm", Robotics and Biomimetics, ROBIO '06. IEEE International Conference, 2006, 959 - 964 .
  • A. Hayes, A. Martinoli, and R. M. Goodman, "Distributed Odor Source Localization", IEEE Sensors Journal, Special Issue on Electronic Nose Technologies, 2( 3), 2002, 260-271.
  • A. Hayes, A. Martinoli, and R. M. Goodman, "Swarm Robotic Odor Localization: Off-Line Optimization and Validation with Real Robots", Robotica, 21( 4), 2003, 427-441.
  • A. Hayes, A. Martinoli, and R. M. Goodman. Odor Source Localization with Mobile Robots. Bulletin of the Swiss Society for Automatic Control, 46, 2007, 11-14.
  • Jren-Chit et. al, "Accurate Localization of Low-level Radioactive Source Under Noise and Measurement Errors", SenSys'08 Proceedings of the 6th ACM conference on Embedded network sensor systems, New York, NY, USA, 2008, 183-196.
  • Colin R. Reeves and Jonathan E. Rowe, "Genetic Algorithms: Principles and Perspective A Guide to GA Theory", Kluwer Academic Publishers, Dordrecht, 2003.
  • Julian F. Miller, "Cartesian Genetic Programming", Springer-Verlag Berlin Heidelberg, 2011.
  • S. N. Sivanandam, S. Sumathi and S. N. Deepa, "Introduction to Fuzzy Logic using MATLAB", Springer-Verlag Berlin Heidelberg, 2007.
  • Guanrong Chen and Trung Tat Pham, "Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems", CRC Press LLC United States of America, 2001.
  • Dun-wei Gong et. al, "Modified Particle Swarm Optimization for Odor Source Localization of Multi-robot", Evolutionary Computation (CEC), IEEE Congress, 2011, 130 – 136.