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

Amira A. A. Elmagid | Zendy; Rabie Α. Ramadan | Zendy; Shahinaz M. Al-Tabbakh | Zendy; S. M. ElGhanam | Zendy; Mahmoud Marie | Zendy; S. A. Kamh | Zendy

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

Author(s) -

Amira A. A. Elmagid,

Rabie Α. Ramadan,

Shahinaz M. Al-Tabbakh,

S. M. ElGhanam,

Mahmoud Marie,

S. A. Kamh

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/17525-8092

Subject(s) - computer science , robotics , artificial intelligence , fuzzy logic , wireless sensor network , wireless , genetic algorithm , machine learning , telecommunications , robot , computer network

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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