The Experts below are selected from a list of 219 Experts worldwide ranked by ideXlab platform
Meng Xiao-ya - One of the best experts on this subject based on the ideXlab platform.
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Based on the Optimization of the Energy Control Sensor Network Communication Simulation
Computer Simulation, 2013Co-Authors: Meng Xiao-yaAbstract:The current wireless Sensor nodes in a network of distribution may be uneven phenomenon,cause the node energy consumption,large energy consumption of cluster heads away from the Sink node,destroy the Sensor network topology structure. Causes the network energy imbalance phenomenon,communication is blocked. A power Control algorithm based on fuzzy c-means node. Using uniform traversal characteristic of the chaotic sequence and efficient global searching ability of differential evolution algorithm,the attributes of the energy of Sensor nodes within the network search,using chaos mapping Logistics to rival node optimization search,the chaos disturbance quantity is introduced in the evolution of population,to complete the optimal energy node selection. Simulation experiments show that the optimal algorithm of wireless Sensor network node clustering performance effects increase obviously,improve communication efficiency by more than 25%. Have very good performance and practical application effect.
Albert Dipanda - One of the best experts on this subject based on the ideXlab platform.
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Efficient scalable Sensor node placement algorithm for fixed target coverage applications of wireless Sensor networks
IET Wireless Sensor Systems, 2017Co-Authors: Arouna Ndam Njoya, Christopher Thron, Jordan Barry, Wahabou Abdou, Emmanuel Tonye, Nukenine Siri Lawrencia Konje, Albert DipandaAbstract:Large applications of Sensor networks, such as environmental risk monitoring, require the deployment of hundreds or even thousands of nodes. This study proposes and implements a novel stochastic physics-based optimisation algorithm that is both efficient (guarantees full target coverage with a reduced number of Sensors) and scalable (meaning that it can be executed for very large-scale problems in a reasonable computation time). The algorithm employs ‘virtual Sensors’ which move, merge, recombine, and ‘explode’ during the course of the algorithm, where the process of merging and recombining virtual Sensors reduces the number of actual Sensors while maintaining full coverage. The parameters which Control Sensor merging and explosion are varied during the algorithm to perform the same function as an annealing schedule in simulated annealing. Simulation results illustrate the rapidity and the effectiveness of the proposed method.
Chengkuo Lee - One of the best experts on this subject based on the ideXlab platform.
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Novel augmented reality interface using a self-powered triboelectric based virtual reality 3D-Control Sensor
Nano Energy, 2018Co-Authors: Tao Chen, Mingyue Zhao, Qiongfeng Shi, Zhan Yang, Huicong Liu, Lining Sun, Jianyong Ouyang, Chengkuo LeeAbstract:Abstract Triboelectric nanogenerators and Sensors have been widely adopted for diversified energy harvesting and sensing applications, but the demonstrations of 3D information sensing and Controlling are very limited. In this paper, we present a novel self-powered virtual reality 3D-Control Sensor (VR-3D-CS) based on triboelectric mechanism for Controlling the attitude (both the position and rotation) of object in 3D virtual space. This innovative, cost-effective, simple-designed Sensor has a symmetric 3D structure with eight separated sensing electrodes and two touching spheres as the interactive interface with human fingers for 3D force information sensing and VR Controlling. Based on the coupling effect of triboelectrification and electrostatic induction, the VR-3D-CS generates different electric output signals in response to different operation manner that can be used to Control the attitude of objects in 3D virtual space. The symmetrical 3D configuration design of the Sensor enables the detection of 3D force from both the normal direction and shear direction. By employing vector properties of force and signal analysis from the eight sensing electrodes, detection of six-axis directions in 3D space is achieved by triboelectric mechanism for the first time. The VR-3D-CS has been demonstrated to be able to detect normal force in the range of 0–18 N. It can resolve the shear force direction with step resolution of at least 15°. Besides, due to the positive output voltage and low internal impedance, the VR-3D-CS is readily compatible with commercial portable signal processing system for signal analysis and Controlling. Demonstration of the VR-3D-CS as interactive interface for Augmented Reality (AR) Control is successfully realized. The robust structure, stable output performance and self-powered sensing property enable the device as an ideal human machine interface towards AR interface, batteryless and energy saving applications.
Arouna Ndam Njoya - One of the best experts on this subject based on the ideXlab platform.
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Efficient scalable Sensor node placement algorithm for fixed target coverage applications of wireless Sensor networks
IET Wireless Sensor Systems, 2017Co-Authors: Arouna Ndam Njoya, Christopher Thron, Jordan Barry, Wahabou Abdou, Emmanuel Tonye, Nukenine Siri Lawrencia Konje, Albert DipandaAbstract:Large applications of Sensor networks, such as environmental risk monitoring, require the deployment of hundreds or even thousands of nodes. This study proposes and implements a novel stochastic physics-based optimisation algorithm that is both efficient (guarantees full target coverage with a reduced number of Sensors) and scalable (meaning that it can be executed for very large-scale problems in a reasonable computation time). The algorithm employs ‘virtual Sensors’ which move, merge, recombine, and ‘explode’ during the course of the algorithm, where the process of merging and recombining virtual Sensors reduces the number of actual Sensors while maintaining full coverage. The parameters which Control Sensor merging and explosion are varied during the algorithm to perform the same function as an annealing schedule in simulated annealing. Simulation results illustrate the rapidity and the effectiveness of the proposed method.
Tao Chen - One of the best experts on this subject based on the ideXlab platform.
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Novel augmented reality interface using a self-powered triboelectric based virtual reality 3D-Control Sensor
Nano Energy, 2018Co-Authors: Tao Chen, Mingyue Zhao, Qiongfeng Shi, Zhan Yang, Huicong Liu, Lining Sun, Jianyong Ouyang, Chengkuo LeeAbstract:Abstract Triboelectric nanogenerators and Sensors have been widely adopted for diversified energy harvesting and sensing applications, but the demonstrations of 3D information sensing and Controlling are very limited. In this paper, we present a novel self-powered virtual reality 3D-Control Sensor (VR-3D-CS) based on triboelectric mechanism for Controlling the attitude (both the position and rotation) of object in 3D virtual space. This innovative, cost-effective, simple-designed Sensor has a symmetric 3D structure with eight separated sensing electrodes and two touching spheres as the interactive interface with human fingers for 3D force information sensing and VR Controlling. Based on the coupling effect of triboelectrification and electrostatic induction, the VR-3D-CS generates different electric output signals in response to different operation manner that can be used to Control the attitude of objects in 3D virtual space. The symmetrical 3D configuration design of the Sensor enables the detection of 3D force from both the normal direction and shear direction. By employing vector properties of force and signal analysis from the eight sensing electrodes, detection of six-axis directions in 3D space is achieved by triboelectric mechanism for the first time. The VR-3D-CS has been demonstrated to be able to detect normal force in the range of 0–18 N. It can resolve the shear force direction with step resolution of at least 15°. Besides, due to the positive output voltage and low internal impedance, the VR-3D-CS is readily compatible with commercial portable signal processing system for signal analysis and Controlling. Demonstration of the VR-3D-CS as interactive interface for Augmented Reality (AR) Control is successfully realized. The robust structure, stable output performance and self-powered sensing property enable the device as an ideal human machine interface towards AR interface, batteryless and energy saving applications.