基于病毒体投射机制的移动无线传感网节点定位算法

为解决当前移动无线传感网节点定位方案存在感知过程复杂、定位准确度不高,难以适应节点拓扑变化频繁的实际场景等不足,提出了一种基于病毒体投射机制的移动无线传感网节点定位算法。首先,鉴于当前直接测序方案及间接测序方案均存在抗噪能力差的不足,设计了多点定位方案,引入多个锚节点联合定位,定位过程中采用迭代方式降低接收信号强度指示(received signal strength indication,RSSI)误差,有效解决了定位过程中存在的圆环分布现象。随后,考虑移动无线传感网节点存在的拓扑漂移速度较快,且坐标存在随机分布的规律,将锚节点看作病毒体,将移动无线传感网节点看作子病毒体,并针对病毒体-子病毒体之间存在随机拓扑规律,引入了病毒体投射机制,并通过迭代方式设计距离定位方案,模拟移动无线传感网定位过程中定位节点与待定位节点之间的拓扑漂移关系,提高网络对定位过程的感知能力。最后,引入权重调节机制对定位坐标进行误差消除,进一步提高网络定位精度与感知性能,强化对移动状态下节点间拓扑的感知与监控,减少网络抖动对定位过程的影响。仿真实验表明,本文算法与当前常用的凸优化的无线传感网障碍环境下定位算法(location algorithm in wireless sensor network obstacle environment based on convex optimization,OECO)及基于精确定位机制的改进DV-HOP算法(on improved DV-Hop localization algorithm for accurate node localization in wireless sensor networks,AN-DV-Hop)相比,具有更高的定位收敛速度和更低的定位误差低。

Node Localization Algorithm for Mobile Wireless Sensor Networks Based on Virus Body Projection Mechanism

In order to solve the shortcomings of the current mobile wireless sensor network node localization scheme, such as more complex sensing process, lower localization accuracy, and more difficulty in adapting to the actual scene where the node topology changes frequently, a mobile wireless sensor network node localization algorithm based on virus body projection mechanism is proposed. Firstly, in view of the shortcomings of the current direct and indirect sequencing schemes in anti-noise ability, a multi-point positioning scheme is designed, and the joint positioning of multiple anchor nodes is introduced. In the positioning process, RSSI error is reduced by iteration, which effectively solves the circular distribution phenomenon in the positioning process. Subsequently, aiming at the fast speed of topological drift and the random distribution of coordinates in mobile wireless sensor networks, anchor nodes are regarded as virus bodies, mobile wireless sensor network nodes are regarded as sub-virus bodies, and for the random topological rules between virus bodies and sub-virus bodies, the virus body projection mechanism is introduced, and the distance location scheme is designed by iteration. The topological drift relationship between the location node and the node to be located in the positioning process of mobile wireless sensor network can improve the network''s perception of the positioning process. Finally, the weight adjustment mechanism is introduced to eliminate the positioning coordinate errors, further improve the positioning accuracy of the network and stabilize the perception performance, strengthen the perception and monitoring of the topology between nodes in the mobile state, and reduce the impact of network jitter on the positioning process. The simulation results show that the proposed algorithm algorithm has higher convergence speed and lower positioning error compared with OECO algorithm, as well as AN-DV-Hop algorithm.