Jin Rencheng, Zhang Xinyuan, Liu Jiajun, Wang Guangxu, Zhang Di
Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel). 2024 Mar 6;24(5):1702. doi: 10.3390/s24051702.
The Multi-Point Relay (MPR) is one of the core technologies for Optimizing Link State Routing (OLSR) protocols, offering significant advantages in reducing network overhead, enhancing throughput, maintaining network scalability, and adaptability. However, due to the restriction that only MPR nodes can forward control messages in the network, the current evaluation criteria for selecting MPR nodes are relatively limited, making it challenging to flexibly choose MPR nodes based on current link states in dynamic networks. Therefore, the selection of MPR nodes is crucial in dynamic networks. To address issues such as unstable links, poor transmission accuracy, and lack of real-time performance caused by mobility in dynamic networks, we propose a comprehensive evaluation algorithm of MPR based on link-state awareness. This algorithm defines five state evaluation parameters from the perspectives of node mobility and load. Subsequently, we use the entropy weight method to determine weight coefficients and employing the method of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for comprehensive evaluation to select MPR nodes. Finally, the Comprehensive Evaluation based on Link-state awareness of OLSR (CEL-OLSR) protocol is proposed, and simulated experiments are conducted using NS-3. The results indicate that, compared to PM-OLSR, ML-OLSR, LD-OLSR, and OLSR, CEL-OLSR significantly improves network performance in terms of packet delivery rate, average end-to-end delay, network throughput, and control overhead.
多点中继（MPR）是优化链路状态路由（OLSR）协议的核心技术之一，在减少网络开销、提高吞吐量、保持网络可扩展性和适应性方面具有显著优势。然而，由于网络中只有MPR节点才能转发控制消息的限制，当前选择MPR节点的评估标准相对有限，使得在动态网络中根据当前链路状态灵活选择MPR节点具有挑战性。因此，MPR节点的选择在动态网络中至关重要。为了解决动态网络中由于移动性导致的链路不稳定、传输准确性差和缺乏实时性能等问题，我们提出了一种基于链路状态感知的MPR综合评估算法。该算法从节点移动性和负载的角度定义了五个状态评估参数。随后，我们使用熵权法确定权重系数，并采用逼近理想解排序法（TOPSIS）进行综合评估以选择MPR节点。最后，提出了基于链路状态感知的OLSR综合评估（CEL-OLSR）协议，并使用NS-3进行了模拟实验。结果表明，与PM-OLSR、ML-OLSR、LD-OLSR和OLSR相比，CEL-OLSR在分组投递率、平均端到端延迟、网络吞吐量和控制开销方面显著提高了网络性能。
