无线传感器网络三维覆盖策略研究

从覆盖面积和有效覆盖率2个方面评估了正三角形网格和正四边形网格的性能优劣.根据理论分析和公式推导,将三维区域完全覆盖问题转化为多个平面覆盖问题研究.采用性能较好的正三角形网格进行节点部署,从拓扑学的角度给出了一种三维区域完全覆盖的部署策略,提供了所需的最少节点数的数学表达式,进行了仿真验证.     

无线传感器网络中基于几何方法的覆盖洞检测

提出了一个基于几何方法的覆盖洞检测算法,用以在网络运行过程中找出覆盖洞,仿真结果表明:此算法在能量消耗和检测时间方面优于TBRA算法。     

无线传感器网络多路径路由算法的研究

在多路径路由算法的研究中,仍然存在着一定的局限性,如没有充分考虑网络中链路的多重特性.因此,文中在定向扩散路由算法的基础上提出了一种多路径路由算法(EDB-MRA).该算法在源节点和目的节点之间建立多条路径,根据网络链路中的3个特征值--能量消耗、延时和带宽,给每条路径赋予一定的选择概率,使得数据总能在链路性能较优的多路径中传输,从而延长了网络的生存周期,提高了传输的可靠性.     

基于传感器网络的异常检测算法研究

本文首先研究了传感器网络数据流中滑动窗口的数据分布估计,在数据分布估计的基础上,进一步研究了基于距离的在线异常检测方法——D3算法,并提出了改进方案;最后给出了下一步工作方向。     

移动无线传感器网络节点定位算法研究

文章针对移动无线传感器网络中节点定位的问题,提出利用一个移动锚节点结合DV-Hop算法来对节点进行定位的方法,该算法与静态网络中DV-Hop定位算法相比节约了网络成本,仿真实验表明,该算法的定位误差和定位覆盖率可以满足大多数应用。     

基于人工鱼群算法的移动通信网络基站覆盖优化问题

基站覆盖优化问题是移动通信网络优化的核心问题．针对网络节点严重冗余，基站之间相互干扰的情况，提出了一个移动通信网络基站最优覆盖模型，并利用人工鱼群算法对移动通信网络基站覆盖优化问题进行求解，得到了最优设计方案．最后选取某城市核心区域对模型与算法进行了验证，仿真结果表明：本文提出的方法提高了移动通信网络基站的覆盖率，减少了节点冗余，从而达到减少网络建设成本，提高网络规划效率和准确度的网络优化目的．     

无线多媒体传感器网络QoS路由博弈算法

由于传感器网络节点采用电池供电,单个节点能量的过度消耗会导致网络的失效,因此传感器节点可能因为能量限制而拒绝转发数据.正是因为传感器节点存在这种潜在的自私行为,传感器网络路由问题可以描述为一个减少节点能量消耗而获得最大网络效益的博弈问题.文中提出了一种无线多媒体传感器网络QoS路由博弈模型,并证明了纳什均衡的存在性.同时,给出了一种基于混合纳什均衡的无线多媒体传感器网络QoS路由算法.     

无线多媒体传感器网络的QoS路由算法

作为一种全新的信息获取和处理技术,无线多媒体传感器网络较之传统传感器网络更多地关注于音频、视频、图像等大数据量、大信息量媒体的采集与处理,在军事、民用及商业领域中具有广阔的应用前景.文中针对具有Mesh结构的无线多媒体传感器网络,给出了其带宽、时延和时延抖动等多约束的QoS路由问题模型的描述.基于基本遗传算法提出了一种多约束的QoS路由算法,给出了算法的具体实现流程,并对算法的收敛性和路由成功率等进行了实验仿真.     

无线传感器网络中能量有效分簇路由算法

由于无线传感器节点的电源能量有限,提出了一种能量有效分簇路由算法(EECRA).该算法是基于最小能量的数据转发并运用于簇内路由中,簇头由基站根据节点的剩余能量和簇头之间的距离来选定,为了减小簇头节点的能量开销,簇头之间采用了多跳中继的方式将采集的数据发送到基站.仿真结果证明:该算法与LEACH协议相比,不仅提高了网络寿命,同时节点的能耗均衡性、网络扩展性和可靠性都大大的提高.     

UWB传感器网络跨层优化模型的构建与实现

跨层设计是提高无线传感器网络整体性能的一种有效方法．文中在综合考虑MAC层调度、物理层功率控制、网络层路由三方面因素的基础上，结合UWB技术超带宽、低信号功率的特点，以实现网络最大数据传输速率为目标，构建了UWB传感器网络跨层优化模型．仿真实验结果表明，根据模型最优解进行网络配置可充分利用网络资源、显著提高网络的数据传输速率，以构建、求解优化模型的方式解决网络跨层问题是切实可行的．     

A study on the degree of barrier coverage in wireless sensor networks

Recently, the barrier coverage was proposed and received much attention in wireless sensor network (WSN), and the degree of the barrier coverage, one of the critical parameters of WSN, must be re-studied due to the difference between the barrier coverage and blanket coverage. In this paper, we propose two algorithms, namely,local tree based no-way and back (LTNWB) algorithm and sensor minimum cut sets (SMCS) algorithm, for the opened and closed belt regions to determine the degree of the barrier coverage of WSN. Our main objective is to minimize the complexity of these algorithms. For the opened belt region, both algorithms work well, and for the closed belt region, they will still come into existence while some restricted conditions are taken into consideration.Finally, the simulation results demonstrate the feasibility of the proposed algorithms.     

Improved algorithm for distributed localization in wireless sensor networks

Many sensor network applications require location awareness,but it is often too expensive to equip a global positioning system(GPS) receiver for each network node.Hence,localization schemes for sensor networks typically use a small number of seed nodes that know their locations and protocols whereby other nodes estimate their locations from the messages they receive.For the inherent shortcomings of general particle filter(the sequential Monte Carlo method) this paper introduces particle swarm optimization a...     

A new self-localization method for wireless sensor networks

Many applications of wireless sensor networks can benefit from fine-grained localization. In this paper, we proposed an accurate, distributed localization method based on the time difference between radio signal and sound wave. In a trilateration, each node adaptively chooses a neighborhood of sensors and updates its position estimate with trilateration, and then passes this update to neighboring sensors. Application examples demonstrate that the proposed method is more robust and accurate in localizing node than the previous proposals and it can achieve comparable results using much fewer anchor nodes than the previous methods.     

Effect of interference on transmission for newly deployed wireless sensor networks

The co-channel interference （collisions） seriously affect the transmission for the newly deployed wireless sensor networks since there is no structure at that phase. In this paper, the interference of the whole network is analyzed based on the SNIR model. The new concept of critical transmitting range is proposed, based on which the transmission theorem is obtained and proved. The results provide the theoretical ground to set up the primary structure of newly deployed networks.