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Wireless Network has become the critical part of the communication infrastructure in our environment. Nowadays, the using of mobile computing devices such as laptops and Wi-Fi enabled phones in the workplace is increasing. The design of wireless networks for enterprise environments remains a challenging task due to the problem of topological design. In this paper, we discuss the computational aspects of the task of calculation the various criteria of efficiency wireless networks' topology. These criteria determine the different characteristics of wireless networks - the access level of populations to network services, the level of the distributed signal and the level of signal accepted in the city. We use brute force algorithm for comparing the different criteria of efficiency the topology of wireless networks. The brute force algorithm has high computational complexity therefore in our experiments we use parallel computing to solve the problem. For illustration the results we use the task of optimization the Wireless network topology for fragment of Myanmar territory.
The paper analyses a random pulse width modulated technique applicable for Z-source inverter. The proposed technique comprises the random pulse position PWM with a randomised frequently triangular carrier having characteristics of both space vector and random lead-lag modulations. This random pulse PWM is produced through the logical comparison of the pseudorandom binary sequence bits with the PWM pulses corresponding to two fixed frequency triangular carriers. Matlab/Simulink was used for modelling and simulation of the proposed method. It has been found that the output harmonic spectra of a Z-source inverter operating under the PWM with randomised frequency are dispersed and continuously distributed that can significantly reduce acoustic noise generated by the inverter and the load.
The paper presents a new control strategy of management of transport companies operating in completive transport environment. It is aimed to optimise the headway of transport companies to provide the balance between costs and benefits of operation under competition. The model of transport system build using AnyLogic comprises agent-based and discrete-event techniques. The model combined two transport companies was investigated under condition of the competition between them. It was demonstrated that the control strategy can ensure the balance of interests of transport companies trying to find compromise between cost of operation and quality of service.
This paper demonstrates a possibilities of using brute force methods for evaluating the effectiveness of hierarchical management systems. Proposed model of hierarchy provides finding the optimal distribution of load between the executive elements at a predetermined structure. A simple hierarchical structure has been used as an example to investigate the functionality of the model and its software implementation.
Battery of a plug-in electric vehicle can be charged from a power grid at different locations. In case of charging at home location it performs a significant impact on household energy consumption and needs to be coordinated and scheduled in order to reduce peaks of power load and cost of electricity. This paper discusses coordination of in-home charging aimed to improve load factor and reduce cost of consumed energy. The algorithm of coordinated charging is based on prediction of household appliances load profile and used to control the electric vehicle battery charger. The simulation has been conducted to verify the proposed algorithm.
The paper discusses utilisation of the brute force methods for the task of towers distribution in wireless communication systems. The proposed algorithm allows to find an optimal allocation of a tower between the settlements. A simple wireless communication has been used as an example to investigate the functionality of the algorithm's software.
Wireless sensor networks are widely used in a variety of fields including industrial environments. In case of a clustered network the location of cluster head affects the reliability of the network operation. Finding of the optimum location of the cluster head, therefore, is critical for the design of a network. This paper discusses the optimisation approach, based on the brute force algorithm, in the context of topology optimisation of a cluster structure centralised wireless sensor network. Two examples are given to verify the approach that demonstrate the implementation of the brute force algorithm to find an optimum location of the cluster head.
