International Journal of Computer Applications (0975 – 8887) Volume 100– No.5, August 2014 37 Radiation Source Localization based Genetic and Fuzzy Agents using Robotics Wireless Sensor Networks Amira A. A.Elmagid Physics Department, Faculty of Girls Collage for Science, Art and Education Ain Shams University Cairo- Egypt Rabie A. Ramdan Computer Engineering Department Faculty of Engineering Cairo University Giza-Egypt Shahinaz M. Al-Tabbak Computer Applications Group, Physics Department Faculty of Girls for Science, Art and Education Ain Shams University Cairo- Egypt S. M. El-Ghanam Electronics lab Physics Department Faculty of Girls for Science, Art and Education, Ain Shams University Cairo-Egypt Mahmoud E.Marie Systems and Computer Engineering Department Faculty of Engineering Alazhar University, Cairo-Egypt S.A. Kamh Electronics lab Physics Department Faculty of Girls for Science, Art and Education Ain Shams University Cairo-Egypt 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. General Terms GA, Fuzzy Logic,WSN Keywords Keywords are your own designated keywords which can be used for easy location of the manuscript using any search engines. 1. INTRODUCTION The interest of identification radiation sources has been increased dramatically as a part of the defense strategy against radiological terrorism scenarios [1]. The focus of the challenge is on confronting the radiological aggressions, which may be performed using radiological dispersion devices or improvised nuclear devices such as “dirty bombs” that pose a serious bioterrorism threat. The possibility of identifying the traces of such sources enables the user to detect them before they are sitting to operate, while they are being transformed or stocked. Absolutely, when the radiation accident happens, there is a massive harmful radiation region. The major hazards to people in the vicinity of the plume are radiation exposure to the body from the cloud and particles deposited on the ground, inhalation of radioactive materials, and ingestion of radioactive materials which usually characterized by a plume region. This could be taken action by inhalation of radioactive gases, ingestion of radioactive materials and particles deposited on the ground [2], [3]. Increasing threat of radiological aggressions has highlighted a considerable concern in research on confrontation such attacks. Based on such a technological vision, it must be able to encountering the widespread threats that target the civilian in both private and public places. There are different detection and localization methods including the one that uses wireless sensor network (WSN). Recently, with the remarkable advances of microelectronics fabrication technology, there has been increased interest in WSNs due to the promised glaring future and Advancements to the world of information technology [4] , [5]. WSN mainly consists of distributed number of small, low priced, and limited energy sensor nodes with restricted capabilities of computing and communicating ranges [6]. Nodes in WSNs cooperatively form an ad hoc wireless network to monitor physical phenomena of the monitored field [7]. Accordingly, the radiation detection domain has been largely evolved by dint of recent advent of sensor network technologies, and also for deducing the source traces by utilizing the measured data gathered from the multi sparse sensors. Consequently, WSN radiation detection system can read the monitoring data, and analyze the radiation information transmitted by each node. If the radiation on certain position surpasses the normal value, the system sends out the corresponding alarm message according to the source address and realizes the real time warning. The ability to rapidly localize a radiological source can assist emergency responders to disable, isolate and safely remove such source [8][8]. One of the most considerable safest ways to accomplish this task is using robots. Today, robot system is often the safest way to enter a very high radiation area. Their main task is to perform a repetitive mission or to execute dangerous tasks that are risky to human. Furthermore, robots could be designed for exceptional