Wireless Sensor Networks (WSN) has been identified as one of the most important technologies for the 21 st century in the world of information technology.In the present paper, a simplified prototype self solar powered sensor node was demonstrated as a proof of concept which could be surveyed for real-time wireless detection systems.It was modeled using low cost and small-sized electronic components and wireless transceiver to serve the wireless communication capabilities.The proposed system was proved to be successfully applied in detecting, transmitting, and reporting, accurately, the changes in the levels of different physical parameters.Herein, WSN was concentrated on monitoring temperature and humidity, as an example, although it can carry-out up to eight/sixteen sensors for each single node, simultaneously.Finally, all the detected data in the monitored field was transmitted wirelessly, free of any noises, to the base station, where a receiver was installed on the computer to display, analyze and save the results and changes.

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.

Sensor deployment is one of the important problems in Wireless Sensor Network (WSN). Deployment affects the coverage of the network especially in critical applications such as in radiation detection. The contributions of this paper are 1) formulating the radiation detection deployment problem in a mathematical form where optimal solutions could be obtained, 2) utilizing one of the famous heuristic algorithms such as Genetic Algorithms (GA) for large scale deployment problems, 3) due to the importance of radiation detection, the paper focus on some of the characteristics of radiation detection problem including the subareas importance and the some of the sensors characteristics such as sensors' sensing and communication, etc. and 3) introducing a GA and Fuzzy logic as a hybrid solution to the problem in order to control the GA crossover and mutation percentages. Although, the concept of the hybrid algorithm is introduced in this paper for sensor deployment, it could be used to solve many other optimization problems. Through a large set of experiments with different problem settings, the efficiency of the proposed algorithms is verified.