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

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 5
Year of Publication: 2014
Amira A. A. Elmagid
Rabie A. Ramadan
Shahinaz M. Al-tabbakh
S. M. El-ghanam
Mahmoud E. Marie
S. A. Kamh

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

	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}


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.


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