Energy-Aware Routing for SWIPT in Multi-Hop Energy-Constrained Wireless Network

He, Shiming; Xie, Kun; Chen, Weiwei; Zhang, Dafang; Wen, Junhai

doi:10.1109/access.2018.2820093

Cited by 76 publications

(61 citation statements)

References 39 publications

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“…The authors proposed a supervised learning method to do the classification that is very interesting and can be applied to our method [43,44]. The authors in [45][46][47][48][49][50][51][52][53] gave a novel mobile sink-based method to optimize system performance, which can be referred to.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Leader-Follower Formation Control of Under-actuated Surface Vessels with Model Uncertainties and Input Constraints

2019

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This paper deals with the leader-follower formation control of underactuated autonomous surface vehicles in the presence of model uncertainties and input constraints. In a leader-follower formation, an autonomous surface vehicle (ASV) called leader tracks a pre-described trajectory and other ASVs called followers that are controlled to follow the leader with a desired distance and desired relative bearing. To this end, some adaptive robust techniques are adopted to guarantee the robustness of the closed-loop system against model uncertainties, external disturbances, and input saturation constraints. Based on the Lyapunov synthesis, it is proven that with the developed formation controllers, the closed-loop system is stable and all the formation errors converge to a small neighborhood of zero. Simulation results demonstrate the effectiveness of the proposed method.

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Section: Related Workmentioning

confidence: 99%

Adaptive Leader-Follower Formation Control of Under-actuated Surface Vessels with Model Uncertainties and Input Constraints

2019

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“…On the one hand, creating an optimized space for a MPC design problem to simultaneously monitor temperature and humidity as two effective factors in providing comfortable atmosphere for residents is the key idea. On the other hand, given the value of energy consumption in the construction sector, especially the cooling and heating sector, which is the main factor in building energy consumption, a multi-objective optimization function is introduced in this paper to minimize the whole energy usage [36][37][38][39][40][41][42][43]. The main novelty of the present paper is in two general lines.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Controlling of Temperature and Humidity in Building Heating, Ventilating, and Air Conditioning System Using Model Predictive Control

et al. 2019

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Nowadays, by huge improvements in industrial control and the necessity of efficient energy consumption for buildings, unified managing systems are established to monitor and control mechanical equipment and energy usage. One of the main portions of the building management system (BMS) is the cooling and heating equipment called heating and ventilation and air-conditioning (HVAC). Based on temperature slow dynamic and presented uncertainty in modeling, a model predictive control (MPC) strategy to track both temperature and humidity is proposed in this study. The main goal of this study is to provide a framework to describe temperature and humidity elements required for dynamic modeling. Following that, by utilizing a predictive approach, a control strategy is obtained, which optimizes the tracking error of two interactional channel and performs the effort control by minimizing the optimization index. Other articles have mostly only had control over the temperature variable, but in our article, we tried to study the equations of temperature and humidity as well as their interference and according to the ASHRAE standard, both temperature and humidity controls must be accurate. The humidity was the novelty in our article. Simulation results proved the effectiveness of the proposed approach compared to the conventional proportional-integral controller. Evidently, the key idea behind the control objective is providing the comfort condition while consuming the least possible energy.

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“…Intelligent aircraft needs stable and reliable electric supply, and the electric consumption is increasing. Although battery can replenish from environment [8], the size of these generators should be increased due to increasing electric demand in the advanced MEAs, which lead to the occupation of larger available space and also increase the system's weight.…”

Section: Motivationmentioning

confidence: 99%

Effect of Load Priority Modeling on the Size of Fuel Cell as an Emergency Power Unit in a More-Electric Aircraft

Salehpour

Radmanesh

Rostami³

et al. 2019

Applied Sciences

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The proton exchange membrane fuel cell as a green power source is a suitable replacement of the engine mounted generators in the emergency power unit of a more-electric aircraft. Most existing energy management methods for operation of fuel cells in the more-electric aircraft refer to the hydrogen consumption minimization. But due to the increasing number of electrical components and hence electrical demand in the aircraft, demand-side management should be considered in these methods. In order to determine the effect of demand-side management on the fuel cell operation and size, an efficient load priority model is presented and integrated into an optimization framework. The proposed optimization framework is formulated as mixed-integer quadratic programming using Karush–Kuhn–Tucker optimality condition and is solved by CPLEX optimization tool. The Boeing 787 electrical distribution system is considered as a single-bus case study to evaluate the performance of the proposed optimization framework. Numerical results show that the size of fuel cell as an emergency power unit resource depends on the type and importance of the system’s loads in different emergency conditions. Also, with an efficient priority model, both hydrogen consumption and load shedding can be decreased.

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Energy-Aware Routing for SWIPT in Multi-Hop Energy-Constrained Wireless Network

Cited by 76 publications

References 39 publications

Adaptive Leader-Follower Formation Control of Under-actuated Surface Vessels with Model Uncertainties and Input Constraints

Adaptive Leader-Follower Formation Control of Under-actuated Surface Vessels with Model Uncertainties and Input Constraints

Modeling and Controlling of Temperature and Humidity in Building Heating, Ventilating, and Air Conditioning System Using Model Predictive Control

Effect of Load Priority Modeling on the Size of Fuel Cell as an Emergency Power Unit in a More-Electric Aircraft

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