基于最佳中继节点搜寻的WSN数据汇聚算法

Convergence algorithm of WSN data based on optimal relay node search

为解决无线传感网络在交通领域部署过程中存在的数据链路抖动严重、汇聚中心节点(sink节点)跳变性大、汇聚带宽不高等问题,提出基于区域控制信息确认及最佳中继节点搜寻的无线传感网数据优化汇聚算法。针对具体时刻交通节点具有的交通特性,采取基于反馈确认思想,实现对所处区域的确认;计算中继节点位置,对中继汇聚节点进行精确定位,确保该中继汇聚节点能够以最佳状态进行数据汇聚;考虑到车辆节点移动特性,采取优化汇聚机制实现对sink节点及中继汇聚节点的优化汇聚更新。仿真结果表明,与PEVN算法、VCPN算法相比,该算法拥有更高的交通节点汇聚带宽性能,在改善车载传感网节点数据拥塞方面具有更大优势。

To solve the problems such as traffic data link jitter,big center node（sink node）jump,as well as the low aggregate bandwidth of wireless sensor network in the field of traffic data link deployment process,the wireless sensor network data aggregation algorithm based on area control information confirmation and the best relay node search was proposed.The area was confirmed based on the idea of feedback confirmation according to the traffic characteristics of the specific time of traffic node.The location of relay nodes was positioned by calculating the relay node position for ensuring that the relay node could converge to the best state of data aggregation.Considering the mobile performance of the vehicle,the optimization convergence mechanism was adopted to realize the optimization of the sink node and relay sink node.The simulation results show that compared with the traditional algorithm,the proposed algorithm has obvious advantages in improving the performance of the vehicle node＇s convergence bandwidth,and has strong practical significance in improving the network node data congestion.