基于认知无线电的应急响应网络多跳会合协议
A Multihop Rendezvous Protocol for Cognitive Radio-based Emergency Response Network
AI总结：
本文提出M-DMCA协议，通过扩展模钟机制实现多跳环境下的高效会合，采用双通道选择和轻量三次握手机制，在极端条件下提升节点发现效率，实现24%的会合时间改进。
摘要：
本文针对多跳认知无线电网络中高效会合的挑战，现有单跳算法在多节点拓扑中导致延迟增加和协调效率低下。为克服这些限制，我们提出多跳双模钟算法（M-DMCA），系统地将基于模钟的会合扩展到多跳环境，同时保持高效的频道协调。所提方案使每个时隙内可进行双频道选择，并采用轻量级三次握手机制以提高中间节点间的协调。在最坏情况下的仿真结果，包括高主用户活动、不对称频道可用性和密集网络设置，表明M-DMCA相比现有方法显著减少了会合时间，达到24%的改进。这些结果证明了M-DMCA在动态应急响应场景中进行及时节点发现的适用性。
英文摘要：
This paper addresses the challenge of efficient ren?dezvous in multihop cognitive radio networks, where existing channel-hopping algorithms designed for single-hop scenarios incur increased delay and coordination inefficiencies in multi?node topologies. To overcome these limitations, we propose a Multihop Dual Modular Clock Algorithm (M-DMCA), which systematically extends modular clock-based rendezvous to multi?hop environments while preserving efficient channel coordination. The proposed scheme enables dual-channel selection per timeslot and incorporates a lightweight three-way handshake mechanism to improve coordination among intermediate nodes. Simulation results under worst-case conditions, including high primary user activity, asymmetric channel availability, and dense network settings, demonstrate that M-DMCA significantly reduces ren?dezvous time compared to existing approaches, achieving up to 24% improvement. These results demonstrate the suitability of M-DMCA for timely node discovery in dynamic emergency response scenarios.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
