Optimization with traffic-based control for designing standalone streetlight system: a case study

Standalone street lighting as a preferred application for road lighting faces two important issues: supply performance and energy cost. According to past research, optimization of hybrid renewable energy system (HRES) in street light supply seems the best known approach to deal with these issues. However, the complex design of street light supply with non-linearity of power units and uncertainty of load pattern makes optimization a challenge. This study employs genetic algorithm (GA) optimization to deal with these complex and uncertain systems. In order to optimize streetlight supply, it takes into account the energy cost for a single-objective problem and both the energy cost and supply performance for a multi-objective problem. This study also integrates traffic-based lighting control to overcome the power consumption issue in the load side affecting the optimum design of the streetlight supply. The system including real weather data, real traffic conditions and optimization algorithm are simulated using MATLAB. Based on the results, the proposed method reduces the power consumption by around 47% for a one-year simulation study. Moreover, the optimal design of streetlight supply potentially minimizes power loss by approximately 39% and energy cost by about 29%

Improving the communication path reliability of WiMAX mesh network using multi sponsor technique

Recently Worldwide Interoperability for Microwave Access (WiMAX) mesh network has emerged as a promising wireless technology in order to enable fast, cost-effective network deployment. However, achieving these requirements is a daunting task due to the mesh subscriber station failures in the presence of the adversarial environment. In fact, mesh subscriber station failure is one of the important challenges in satisfying the requirements of the communication path in the WiMAX mesh network. To cope with the node failures during communication path bypassing the intermediate nodes, the enhancement of communication path reliability is of the utmost importance in the WiMAX mesh network. In this paper, a new technique based on multi sponsor nodes is presented to enhance the reliability of the multi hop communication path. Markov model based on the multi sponsor nodes is also applied to enhance the communication path reliability when the network face with malfunctioning nodes. Ultimately, a generic model based on the stochastic attribution of WiMAX mesh network is developed to measure the reliability of the multi hop communication path. Consequently, multi sponsor technique in WiMAX could more thoroughly improve the reliability of the communication path in the WiMAX mesh network