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张秀清, 宋沐涵, 王晓君. 一种基于动态加权的AODV路由算法J. 桂林电子科技大学学报, 2026, 46(1): 20-26. DOI: 10.16725/j.1673-808X.2025205
引用本文: 张秀清, 宋沐涵, 王晓君. 一种基于动态加权的AODV路由算法J. 桂林电子科技大学学报, 2026, 46(1): 20-26. DOI: 10.16725/j.1673-808X.2025205
ZHANG Xiuqing, SONG Muhan, WANG Xiaojun. AODV routing algorithm based on dynamic-weightingJ. Journal of Guilin University of Electronic Technology, 2026, 46(1): 20-26. DOI: 10.16725/j.1673-808X.2025205
Citation: ZHANG Xiuqing, SONG Muhan, WANG Xiaojun. AODV routing algorithm based on dynamic-weightingJ. Journal of Guilin University of Electronic Technology, 2026, 46(1): 20-26. DOI: 10.16725/j.1673-808X.2025205

一种基于动态加权的AODV路由算法

AODV routing algorithm based on dynamic-weighting

  • 摘要: 随着无线组网技术的发展与应用,对无线网络整体功耗、数据传输时延、可靠性提出了更高的要求。在低功耗的蓝牙Mesh组网中,传统泛洪路由及基于距离矢量的按需AODV路由的应用导致网络中存在数据包转发冗余、网络功耗较高、链路状态不稳定及通信时延过大等问题。因此,基于能量有限的AODV算法和带有能量权值估计的E-AODV算法的基础上,再次对路由算法进行优化得出DW-AODV路由算法。在关于跳数、节点剩余能量、链路质量权重函数基础上,引入了动态调整节点评价权值、基于节点通信覆盖面积阈值判断条件以及边缘节点计算能力因素来共同评估选择出最优节点进行数据包的转发。仿真结果表明,改进的DW-AODV算法能够进一步减少蓝牙Mesh无线网络中数据包冗余转发数量,并且保证整体网络节点能量均衡性。通过与传统泛洪、AODV算法及权值算法E-AODV比较,该算法有效降低数据包传输时延、网络整体能耗及丢包率,进一步提高网络性能。

     

    Abstract: With the rapid development of wireless networking technologies, higher requirements have been placed on power consumption, transmission delay, and reliability in wireless networks.In low-power Bluetooth mesh networks, the use of traditional flooding routing and the Ad Hoc On-Demand Distance Vector(AODV) routing protocol results in redundant packet forwarding, high network power consumption, unstable links, and large communication delays. Therefore, based on the energy-limited AODV algorithm and the Energy-aware AODV (E-AODV) routing algorithm, a Dynamic-Weight ADOV routing algorithm(DW-AODV) is proposed. Based on hop count, residual node energy, and link quality metrics, the node evaluation weights are dynamically adjusted. The communication coverage threshold and the computing capacity of edge nodes are also considered. These factors are jointly evaluated to select the optimal forwarding node. Simulation results show that the improved DW-AODV algorithm can further reduce the number of redundant data packet forwarding in the bluetooth mesh wireless network, and ensure the energy balance of the overall network nodes. Compared with the traditional flooding, the AODV algorithms, and E-AODV algorithm, the proposed algorithm effectively reduces packet transmission delay, network energy consumption, and packet loss rate, thereby improving overall network performance.

     

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