Papers by Keyword: Energy Balance

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Authors: Xu Bai, Chang Hong Wang, Jia Yan Zhang
Abstract: A cluster-based network topology enables the efficient utilization of the limited energy resources in network; based on multi-hop clustering model, the unequal routing protocol can lead to uniform energy dissipation among the cluster head and achieves some improvement on the network lifetime. However, the bottleneck zone, where the energy of the nodes closer to the Sink is depleted quickly, still limits the network lifetime in some cases; especially the collecting data cant be compressed. In this paper, a Hybrid transmitting protocol for Unequal Cluster-based Routing WSN(H-UCR) was proposed, which combined single-hop and multi-hop transmission is implemented to balance the energy dissipation among the entire network. Simulation results demonstrate that our proposed approach is effective in balancing the energy consumption and prolonging the network lifetime.
Authors: Jing Han, Dong Ya Chen
Abstract: How to make good use of the limited energy to maximize the network life span is an important problem of the wireless sensor network. The life of WSN depends on the minimum of the residual energy of its nodes. A fair energy balance routing algorithm is proposed which uses the Ant Colony Optimization Algorithm (ACO) to balance the network energy distribution and extend the network life. The proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the Ant Colony to get a tread off between the shortest path and the fair energy balance. Simulation results show that the proposed algorithm is good at balancing the energy, and it effectively extends the span of the network life.
Authors: Wang Lan Tian, Hong Yan Lei
Abstract: In this paper, a reasoning model is proposed for energy efficiency task allocation in wireless sensor network. The presented energy efficient contract net protocol is used to implement the negotiation process. Multi-issue scoring function can evaluate the offer with multi-issues in a quantifiable way. An energy threshold is brought to decrease communications which will turn out to decrease nodes’ energy consumption. And the usage of energy threshold also promote the nodes with high level energy have more chance to implement tasks. The simulation results show that the allocation model has outstanding performance maintaining a fair energy balance and is energy efficient in negotiation process.
Authors: Chu Hang Wang
Abstract: Topology control is an efficient approach which can reduce energy consumption for wireless sensor networks, and the current algorithms mostly focus on reducing the nodes’ energy consumption by power adjusting, but pay little attention to balance energy consumption of the whole network, which results in premature death of many nodes. Thus, a distributed topology control algorithm based on path-loss and residual energy (PRTC) is designed in this paper. This algorithm not only maintains the least loss links between nodes but also balances the energy consumption of the network. The simulation results show that the topology constructed by PRTC can preserve network connectivity as well as extend the lifetime of the network and provide good performance of energy consumption.
Authors: De Long Fu, Li Zhang, Cheng Jin
Abstract: A fatigue crack growth model under constant amplitude loading based on the total plastic energy dissipation per cycle ahead of the crack was proposed. With the energy balance concept, the crack growth rate was correlated with the total plastic dissipation per cycle, and the total plastic dissipation per cycle was obtained through 2-D elastic–plastic finite element analysis of a stationary crack under constant amplitude. The predictions of the model were in good with the experimental results.
Authors: Xu Bai, Chang Hong Wang, Jia Yan Zhang
Abstract: A cluster-based network topology can increase the scalability and lifetime. However, the area around the Sink node forms a bottleneck zone due to heavy traffic-flow, which limits the network lifetime in WSN, the energy of the nodes closer to the sink node is depleted very quickly and the network die early, so it is important to ensure that the network energy dissipation is balanced. In this paper, an unequal fan-shaped clustering (UFC) model was proposed, which can lead to more uniform energy dissipation among the entire network, thus increasing network lifetime. The results show that UFC can lead to more uniform energy dissipation in a homogeneous network and prolong network lifetime.
Authors: Libor Šteffek, Jiří Kalánek, Milan Ostrý
Abstract: Unfortunately, buildings are in practice rarely created as expected during the design process. This may be due to changes in the project during the construction, or to poor implementation. Energy consumption of the real building can be significantly different from that theoretically calculated. User behavior and the physical characteristics of buildings and their systems are the main influences for these deviations.This paper deals with a computer simulation quantifying the influence of changes the thermal parameters of a building’s envelope demands of the future energy. Furthermore, it compares the costs and returns of each alternative solution.
Authors: Wojciech Bialik, Bolesław Machulec
Abstract: The paper presents an analysis of the possibilities of using the enthalpy of post-reaction gases from the ferrosilicon smelting process to produce electricity. Ferrosilicon smelting in the submerged arc furnace is one of the most energy-consuming electro thermal processes. Post-reaction gases, generated during the silica reduction process with carbon, contain significant amounts of energy. In the past the issue of energy recovery from the ferrosilicon process has been repeatedly taken, but for the Polish ferroalloy industry it is still valid. In order to determine the amount of energy possible for recovery calculations based on mass and energy balances has been carried out and determined the stream enthalpy of post processing gas. For preparing the balance sheets has been used operational data from the 20 MVA furnace and the overall reaction of the silica reduction process. It was assumed that the reduction process occurs at a temperature of 1650°C, and the temperature of leaving post-reaction gas, whose main ingredients are oxides CO and SiO, is 750°C.
Authors: Feng Xia Han, Xiu Li Sang, Jian Xin Xu
Abstract: There were two controlling factors, which should be kept balance of raw input and energy during titanium slag smelting in closed high power direct current electric arc furnace, DC furnace for short. The first factor contains compositions and ratio of input raw materials. Compositions of the raw could influence the progress and technical indicators of DC furnace smelting, and on the meanwhile, it could determine the compositions of impurity and contents of TiO2 in titanium slag. On the other hand, the ratio of input infected the compositions of the slag, while too much anthracite would disadvantage to produce high quality slag because of impurity being reduced continually. Meanwhile much more low-state titanium would be generated. The second factor was an important one that energy equilibrium, which influence the production safety of DC furnace. It could keep balance of input and output energy, while the heatloss was 4.971 MVA. While the ratio of anthracite remained the same, the energy would effect slag viscosity and equilibrium of freeze lining directly. The energy input higher than smelting need would result in burnthrough of furnace wall and hearth, on the contrary, lower than smelting need would bring about slagging difficulties. Consequently, raw input and energy must be kept dynamic balance in order to achieve high quality titanium slag and protect freeze lining.
Authors: Jian Min Pan, Qing Hua Shi
Abstract: In this paper, we propose a Density-based Energy-Efficient Unequal Clustering (DEEUC) algorithm to solve the energy consumption imbalance problem of the nodes deployed randomly. The algorithm balances the energy consumption of the cluster by making nodes as cluster head in turn and taking the remaining energy into consideration, which makes the generation of the cluster head more reasonable. It balances the energy consumption of the cluster by generating unequal cluster with different radius based on nodes density and the distance to the sink. In the routing strategy, the cluster head node with high density is chosen as the next hop, which makes the selected node undertake more data forwarding tasks, and balances the regional energy consumption. The simulation experiments show that this algorithm can effectively balance the network energy consumption and prolong the network lifetime.
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