Over the last few years, a large number of researches have emerged and approached the use of mobile expert systems and other information management technologies in the area of intermodal container transportation and decision support. However, practitioner literature poorly analyzes the process of monitoring cargo transportation conditions, cargo information security and other important issues. The paper presents an emerging field of intermodal container transportation where the primary objective of the proposed mobile control system is to monitor cargo conditions during transportation in a real time manner and work as a decision support system. Also, the article evaluates potential risks involved in cargo transportation and therefore provides mobile cargo security assurance service. Computational results suggest using an optimum number of RFID and sensor readings to effectively manage the newly proposed elements of operation strategy in a conceptual strategy framework. The overall results indicate that the integration of risk management practice into transportation processes via a mobue control system increases intermodal container transportation mobility, safety and overall effectiveness.

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Intermodal containers transportation management has always been a serious issue among logistics worldwide companies where the application of secure mobile information technologies (e.g. radio frequency identification systems (RFID) and sensor networks) could significantly improve the current situation by sending managers all the needed transportation conditions information. In this paper, we have focused on improving managerial decision making method by introducing the expert system evaluation functionality in a common software solution CTRMS for additional ICT risks evaluation. The basic risks involved in transportation and the appropriate measures are introduced as well. The pre-defined RFID sensor network was used to develop an optimal tag authentication and routing algorithm where tags and reader authentication protocols were defined and based upon the highest security assurance and the reader to tag response time criterias. A Nearest Neighbor (NN) heuristic approach and a Priority setting method were used to address the problem of routing within the RFID sensor network between tags with the objective function of minimizing the data transfer time between tags with the highest priority values. Computational results also indicate that when the tags have the same level of confidence in the system, they can exchange information without any additional verification, so making the authentication protocol less time consuming and therefore more effective against other proposed protocols.

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An electronic monitoring system was developed to monitor and analyze operating and environmental parameters of solar power plants. The electronic monitoring system consisted of two stages: the first stage was designed to receive data from temperature, illumination, voltage, electric current, and power sensors and modules; the second stage is for data collection, analysis, and display. Microcontrollers PIC18F25K22 (for data collection) and PIC24FV32KA302 (for data analysis and display) were used to implement the electronic monitoring system. RF module EBTYE OEM/ODM E32-433T20DC SX1278 433 MHz UART was used to transmit data to the central server. For the microcontrollers of both stages, original control program algorithms were developed, according to which program codes were written using the C programming language. Data were collected using the MySQL database. The virtual interface and application for displaying instant data were created using programming language Delphi. Data monitoring systems in the market have a number of shortcomings due to the difficulty of ensuring a centralized data management process. In addition, sensors used in most systems require a Wi-Fi Internet connection to transmit information, which is difficult to secure in remote solar parks. The aim of this work is to show that information transmission from individually deployed sensors to the central server can be ensured using the principle of RF communication, and data collection and analysis in a centralized way without additional costs for Wi-Fi networks in remote areas.