Yang Haibo, Guo Huidong, Jia Junying, Jia Zhengfeng, Ren Aiyang
College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110167, China.
Shenyang Key Laboratory of Advanced Computing and Application Innovation, Shenyang 110167, China.
Sensors (Basel). 2024 Oct 10;24(20):6502. doi: 10.3390/s24206502.
Real-time status monitoring is crucial in ensuring the safety of railway tunnel traffic. The primary monitoring method currently involves deploying sensors to form a Wireless Sensor Network (WSN). Due to the linear characteristics of railway tunnels, the resulting sensor networks usually have a linear topology known as a thick Linear Wireless Sensor Network (LWSN). In practice, sensors are deployed randomly within the area, and to balance the energy consumption among nodes and extend the network's lifespan, this paper proposes a self-organizing network and routing method based on thick LWSNs. This method can discover the topology, form the network from randomly deployed sensor nodes, establish adjacency relationships, and automatically form clusters using a timing mechanism. In the routing, considering the cluster heads' load, residual energy, and the distance to the sink node, the optimal next-hop cluster head is selected to minimize energy disparity among nodes. Simulation experiments demonstrate that this method has significant advantages in balancing network energy and extending network lifespan for LWSNs.
实时状态监测对于确保铁路隧道交通的安全至关重要。目前主要的监测方法是部署传感器以形成无线传感器网络（WSN）。由于铁路隧道的线性特征，由此产生的传感器网络通常具有一种称为厚线性无线传感器网络（LWSN）的线性拓扑结构。在实际应用中，传感器随机部署在该区域内，为了平衡节点间的能量消耗并延长网络寿命，本文提出了一种基于厚LWSN的自组织网络和路由方法。该方法能够发现拓扑结构，从随机部署的传感器节点形成网络，建立邻接关系，并使用定时机制自动形成簇。在路由方面，考虑簇头的负载、剩余能量以及到汇聚节点的距离，选择最优的下一跳簇头，以最小化节点间的能量差异。仿真实验表明，该方法在平衡LWSN的网络能量和延长网络寿命方面具有显著优势。
