Time-optimized contextual information forwarding in mobile sensor networks

We study on the forwarding of quality contextual information in mobile sensor networks (MSNs). Mobile nodes form ad-hoc distributed processing networks that produce accessible and quality-stamped information about the surrounding environment. Due to the dynamic network topology of such networks the context quality indicators seen by the nodes vary over time. A node delays the context forwarding decision until context of better quality is attained. Moreover, nodes have limited resources, thus, they have to balance between energy conservation and quality of context. We propose a time-optimized, distributed decision making model for forwarding context in a MSN based on the theory of optimal stopping. We compare our findings with certain context forwarding schemes found in the literature and pinpoint the advantages of the proposed model.     

Tactile display with tangential and normal skin displacement for robot-assisted surgery

This paper proposes a tactile display providing both shear and normal feedback to the fingertip for generating three-axis tactile feedback during teleoperation of a surgical robot. The display is composed of five balloons actuated by controlling the pneumatic pressure. The implemented display is 18?mm?×?18?mm?×?15?mm. This size is suitable for mounting the display onto the master controls of a surgical robot. The maximum normal and shear displacements are 2 and 1.3?mm, respectively. The proposed tactile display may provide perceivable stimuli to a human finger pad in all five directions: normal, distal, proximal, radial, and ulnar. This paper also reports on the results of psychophysical measurement of the minimum perceivable movement of the developed tactile display for each of the five directions.     

A virtual actuator and sensor approach for fault tolerant control of LPV systems

In this paper, a fault tolerant control (FTC) strategy using virtual actuators and sensors for linear parameter varying (LPV) systems is proposed. The main idea of this FTC method, initially developed for LTI systems, is to reconfigure the control loop such that the nominal controller could still be used without need of retuning it. The plant with the faulty actuator/sensor is modified adding the virtual actuator/sensor block that masks the actuator/sensor fault. The suggested technique is an active FTC strategy that reconfigures the virtual actuator/sensor on-line taking into account faults and operating point changes. The stability of the reconfigured control loop is guaranteed if the faulty plant is stabilizable/detectable. The LPV virtual actuator/sensor is designed using polytopic LPV techniques and linear matrix inequalities (LMIs). A two-tank system simulator is used to assess the performance of the proposed method. In particular, it is shown that the application of the proposed technique results in an improvement, in terms of performance, with respect to the LTI counterpart.     

Development of a variable selection method for soft sensor using artificial neural network and nonnegative garrote

This paper developed a new variable selection method for soft sensor applications using the nonnegative garrote (NNG) and artificial neural network (ANN). The proposed method employs the ANN to generate a well-trained network, and then uses the NNG to conduct the accurate shrinkage of input weights of the ANN. This paper took Bayesian information criterion as the model evaluation criterion, and the optimal garrote parameter s was determined by v-fold cross-validation. The performance of the proposed algorithm was compared to existing state-of-art variable selection methods. Two artificial dataset examples and a real industrial application for air separation process were applied to demonstrate the performance of the methods. The experimental results showed that the proposed method presented better model accuracy with fewer variables selected, compared to other state-of-art methods.     

无线传感器网络连通恢复综述

针对无线传感器网络中连通恢复问题,分析和总结了近年来相关的主要方向和研究成果,同时对无线传感器网络连通恢复解决方法进行了分类和总结,并指出了其中的不足与未来的研究方向。     

带速度控制的能量高效的数据收集算法

无线传感网络中, 在保证节点能耗较低, 从而延长网络寿命的基础上, 减小数据收集时延是数据收集的核心问题。为此, 提出了一种带速度控制的能量高效的移动数据收集方法。该方法首先基于节点剩余能量进行动态分簇, 每个簇形成两个簇头来分担簇头能耗; 然后给小车装载双天线, 使得节点能够MIMO数据上传; 最后利用TSP问题找到一条最优路径, 并对移动小车的速度进行控制, 以便小车能够更快地收集数据。仿真实验结果表明, 该方法能够均衡网络流量, 延长网络寿命; 与其他算法相比, 数据收集时延较短。     

基于无线传感网的智能环境监控系统设计

针对传统环境监控系统存在的缺点,设计了一种新型无线传感器网络的环境监控系统。系统采用分布式融合结构,通过终端节点的多种传感器采集环境信息,终端对信息预处理后实时将信息传输到协调器。协调器融合各终端传感器信息,提取精确信息上传至融合中心,融合中心通过分析数据发布命令给控制中心,控制中心利用单片机驱动电机可以自动或手动控制风机和水泵对环境进行调节和控制。同时,系统还具有自动预警功能。通过验证,该系统稳定、可靠,能广泛应用于不同领域的分布式多点环境监控。     

汽车胎压监测系统的设计及其通信抗干扰研究

针对大多数直接式汽车胎压监测系统组件集成度低、体积和功耗较大等问题,提出了一种基于短距离无线通信ZigBee技术的新型胎压无线监测系统的设计。主要采用TI的CC2530芯片和英飞凌SP12集成式数字传感器,实现对汽车轮胎内部状态的实时监测。采用软硬件协同设计以降低系统功耗,并通过多点轮询通信方式和ZigBee高级加密设置保障了其无线通信的抗干扰能力。