无线传感器网络中移动sink节点的路径规划

在无线传感器网络中,大量感知数据汇集到sink节点的采集方法会导致sink节点附近的节点能量耗尽,造成能量空洞。针对该问题,利用移动的sink节点进行数据收集是一种解决方法,其中移动sink的路径规划成为一个重要的问题。提出了一个移动sink路径规划算法,将无线传感器中随机分布的节点划分为不同的子区域,寻找sink节点移动的最佳转向点,最终得到最优的移动路径,以实现无线传感器网络生命周期最大化。仿真实验表明,与现有方案相比,该算法能显著延长网络的生命周期。     

Soret and Dufour effects between two rectangular plane walls with heat source/sink

This study addresses the thermo‐diffusion and the diffusion‐thermo phenomena in a semi‐infinite absorbent channel whose walls are contracting/expanding, with heat source/sink effects. The governing partial differential equations with suitable boundary conditions are transformed to a system of dimensionless ordinary differential equations. An analytic solution of the problem has been found using a technique called homotopy analysis method (HAM). HAM gives consistently valid answers to the problem over an extensive variety of parameters and also provides better accuracy. To validate the analytical results, a comparison has been presented with a numerical solution calculated by using the parallel shooting method. The effects of dimensionless parameters, that is, deformation parameter, Reynolds number, Soret and Dufour numbers, and heat source/sink parameter on the expressions of velocity, temperature, and concentration profiles are analyzed graphically to understand the physics of the deformable channel. It has been noted that the velocity across the channel is higher for the expanding channel, as compared to that for the contracting channel. Also the Soret and Dufour number increases the temperature of the fluid, and decreases the concentration. The temperature profile has an increasing behavior in the case of heat source, and a decreasing behavior in the case of heat sink.     

空气中烧成的镍导体及其应用

将空气中烧成的镍导体用于散热制冷片制作工艺中，可降低成本，提高合格率。通过实验得到的最佳值为：镍导体中４号玻璃（ＳｉＯ２＞３０，Ｂ２Ｏ３＞１０，ＰｂＯ＜５５，ＴｉＯ２少许）的含量４．５％，化学镀镍时间５０ｍｉｎ，方阻４７．５ｍΩ／□，附着力８．１Ｎ／ｍｍ２。     

Sink节点移动的无线传感网生存时间优化算法

为提高网络最大生存时间,提出Sink节点移动的无线传感网生存时间优化算法(LOAMSN)。该算法分析Sink节点移动时的流量平衡约束、最大传输速率约束、节点能耗约束等约束条件,将生存时间优化问题转化成优化模型。提出Sink节点的移动方法,即Sink节点利用节点的度值构建其移动路径,按照此路径循环移动收集数据。将Sink节点的移动认为是离散运动,Sink节点移动的生存时间优化模型分解成若干个Sink节点静止的生存时间优化模型,采用牛顿法求解每个Sink节点静止的优化模型,获得网络最大生存时间和节点发送数据量的最优值。仿真结果表明:LOAMSN算法能减少Sink节点停留位置上的节点能耗,平衡网络负载和节点能耗,提高网络最大生存时间。在一定条件下,LOAMSN算法比Sink节点静止时更优。     

基于多传感器信息融合技术在灭火机器人系统的设计

提出一种通过多传感器信息融合技术来提高灭火机器人的火焰、距离检测的准确性,设计了由超声波、红外测距模块和数据融合模块组成的测距避障子系统;由红外火焰检测模块、数据融合模块组成的火焰检测子系统,在此基础上,采用自适应加权数据融合算法分别对多传感器检测的距离和火焰信息进行融合,以提高对火源目标判断的准确度;实验结果表明,设计的智能灭火机器人传感器软硬件系统测量相对误差小,能很好的反映火灾现场信息,满足火情探测和灭火需要,具有很强的使用价值。     

An immune orthogonal learning particle swarm optimisation algorithm for routing recovery of wireless sensor networks with mobile sink

The growth of mobile handheld devices promotes sink mobility in an increasing number of wireless sensor networks (WSNs) applications. The movement of the sink may lead to the breakage of existing routes of WSNs, thus the routing recovery problem is a critical challenge. In order to maintain the available route from each source node to the sink, we propose an immune orthogonal learning particle swarm optimisation algorithm (IOLPSOA) to provide fast routing recovery from path failure due to the sink movement, and construct the efficient alternative path to repair the route. Due to its efficient bio-heuristic routing recovery mechanism in the algorithm, the orthogonal learning strategy can guide particles to fly on better directions by constructing a much promising and efficient exemplar, and the immune mechanism can maintain the diversity of the particles. We discuss the implementation of the IOLPSOA-based routing protocol and present the performance evaluation through several simulation experiments. The results demonstrate that the IOLPSOA-based protocol outperforms the other three protocols, which can efficiently repair the routing topology changed by the sink movement, reduce the communication overhead and prolong the lifetime of WSNs with mobile sink.     

炼焦中煤深度降灰的研究

分析了中国炼焦煤的储量及利用情况，从利用中国优质煤炭资源的角度出发，以范各庄选煤厂1．40—1．60密度级中煤为实验煤样，以氯化锌为重液，采用浮沉方法将中煤按密度分级，各密度级煤样经磨细后，采用了絮团——浮选工艺，回收各密度中的低灰精煤；探讨从范各庄选煤厂中煤中分选出优质低灰精煤的条件。经过分级及分选后，在相同的分选密度的情况下，总精煤灰分可以降到8．14％以下。     

动态传感器网络区域受限的移动sink路径选择研究

针对sink区域受限及节点特征参数的问题,如何规划sink路径选择以满足动态传感器网络高效数据收集及低能耗的要求,提出了一种动态传感器网络区域受限的移动sink路径选择方法。该方法在缓存节点辅助通信模式下,建立sink受限区域图模型。针对不同应用情况,分别讨论了sink移动全局路径信息已知和sink移动局部路径信息已知这两种情况下的最优移动路径。在全局路径信息已知时,采用Vornon单元划分的思想求解总传输能耗和节点平均负载;在局部路径信息已知时,采用启发式策略进行路径寻优,并证明其路径寻优的正确性。最后通过仿真实验与理论计算来验证移动sink最佳路径寻优策略的有效性和可行性。     

以STM32F103为核心的智能灭火机器人

设计了一种能顺利完成在模拟房间内自动灭火任务的智能灭火机器人。方案以STM32F103嵌入式芯片为控制核心,采用传感器组采集环境信号,控制机器人行动。该智能机器人能完成自动循迹、自动避障、自动寻找火源并迅速准确灭火、回家的功能。实验结果表明:该机器人行动灵活快速,具有很高的准确性和稳定性。     

无线传感器网络多sink路由技术研究*

在介绍无线传感器网络路由协议的独有特点后,给出了传感器网络多sink路由协议的分类方法,然后着重分析了当前较为有代表性的多sink路由协议,在协议特点及其应用范围方面进行了研究与比较。最后,总结了多sink路由协议的研究的关键点及其发展趋势。