Enhancing Users' Quality of Experienced with Minimum Energy Consumption by Fog Nodes Cooperation in Internet of Things

Author(s):  
Shakoor Vakilian ◽  
Ali Fanian
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yanli Zhu ◽  
Xiaoping Yang ◽  
Yi Hong ◽  
Youfang Leng ◽  
Chuanwen Luo

The low-power wide-area network (LPWAN) technologies, such as LoRa, Sigfox, and NB-IoT, bring new renovation to the wireless communication between end devices in the Internet of things (IoT), which can provide larger coverage and support a large number of IoT devices to connect to the Internet with few gateways. Based on these technologies, we can directly deploy IoT devices on the candidate locations to cover targets or the detection area without considering multihop data transmission to the base station like the traditional wireless sensor networks. In this paper, we investigate the problems of the minimum energy consumption of IoT devices for target coverage through placement and scheduling (MTPS) and minimum energy consumption of IoT devices for area coverage through placement and scheduling (MAPS). In the problems, we consider both the placement and scheduling of IoT devices to monitor all targets (or the whole detection area) such that all targets (or the whole area) are (or is) continuously observed for a certain period of time. The objectives of the problems are to minimize the total energy consumption of the IoT devices. We first, respectively, propose the mathematical models for the MTPS and MAPS problems and prove that they are NP-hard. Then, we study two subproblems of the MTPS problem, minimum location coverage (MLC), and minimum energy consumption scheduling deployment (MESD) and propose an approximation algorithm for each of them. Based on these two subproblems, we propose an approximation algorithm for the MTPS problem. After that, we investigate the minimum location area coverage (MLAC) problem and propose an algorithm for it. Based on the MLAC and MESD problems, we propose an approximation algorithm to solve the MAPS problem. Finally, extensive simulation results are given to further verify the performance of the proposed algorithms.


2019 ◽  
Vol 8 (3) ◽  
pp. 5897-5900

Minimization of energy consumption is an important constraint in portable electronic devices such as smart phones or tablet PCs, laptops . With reliable energy measurement and estimation methods and tools, it is possible to accurate prediction of minimum energy consumption at different levels i.e., from circuit to architecture, architecture to system software and system software to application. Energy efficient design requires reducing energy dissipation in all stages of the design process without compromising the system performance and the quality of services..


2018 ◽  
Vol 15 (4) ◽  
pp. 484-491 ◽  
Author(s):  
Baghdad Science Journal

The deployment of UAVs is one of the key challenges in UAV-based communications while using UAVs for IoT applications. In this article, a new scheme for energy efficient data collection with a deadline time for the Internet of things (IoT) using the Unmanned Aerial Vehicles (UAV) is presented. We provided a new data collection method, which was set to collect IoT node data by providing an efficient deployment and mobility of multiple UAV, used to collect data from ground internet of things devices in a given deadline time. In the proposed method, data collection was done with minimum energy consumption of IoTs as well as UAVs. In order to find an optimal solution to this problem, we will first provide a mixed integer linear programming model (MILP) and then we used a heuristic to solve the time complexity problem. The results obtained in the simulation results indicate the optimal performance of the proposed scheme in terms of energy consumption and the number of used UAVs.


2021 ◽  
Author(s):  
Sergey E. Bashniak ◽  
Evgeniy A. Ladygin ◽  
Olga S. Anisimova ◽  
Valentina Yu. Kontareva ◽  
Natalya G. Papchenko ◽  
...  

This article provides information about the importance of stable thermal operating modes of refrigeration machines in the condition of changes in the thermal load on the compressor. We also consider the problem of the minimum energy consumption of refrigeration machines. These two parameters characterize the storage quality of agricultural products in refrigeration machines. It is shown that the temperature stability of the cooling chambers and the minimum energy consumption of the cooling process determine the refrigerator efficiency and, ultimately, the production cost. The article proposes continuous monitoring of the heat and energy indicators of refrigerators. These indicators are recorded and after the set period of operation, control and verification measurements of the control refrigeration machine’s heat and energy indicators are performed. The convergence or divergence of these indicators is used to evaluate the stability of the cooling chambers’ temperature regimes and the specific energy consumption. We also consider the influence of time on the performance of the compression refrigeration machine changes and methods of current technical condition diagnostics. If the deviations are insignificant, the program goes through the cycle to the beginning of monitoring and after a set period of time again automatically performs control measurements and evaluation of deviations. In the case of significant deviations, the decision-making subroutine is activated: either to operate the refrigerator further; perform its maintenance; suspend its operation; or replace it. Keywords: refrigeration units, cooling, heat and power characteristics, management controller, storage quality of agricultural production


2019 ◽  
pp. 84-88
Author(s):  
Vladimir Vladimirovich Melem ◽  
Nikolay Vasilievich Stepanov ◽  
Vyacheslav Vladimirovich Bonnet

The top-crusher with more advanced design and improved performance characteristics has been proposed. The dependence between geometric and mechanical parameters of the rotor is established, providing maximum absolute speed of knife blades for the moment of cutting the stem which creates the best conditions for grinding the stems. It follows from the results of calculations that the proposed chain top-crusher, in comparison to the existing analogues, has: minimum energy consumption (Nprv=13-15 kWt), and, consequently, the lower fuel consumption (in comparison to KIR-1.5 Nprv KIR=18-20 kWt), improved quality of making technological process – by copying the transverse profile of the ridges and the increased reliability of working bodies.


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