论文部分内容阅读
如何提高网络容量是无线网络领域的重要研究内容之一.无线信道固有的时变与广播特性在传统路由中未被有效应用,机会路由(opportunistic routing)可以利用这些特性,实现分集.另一方面,多播(multicast)可以利用网络中广泛存在的一对多业务,通过单次传输将数据送达多个目标节点,提高传输效率.本文中提出从Markov状态转移的角度研究多播机会路由问题,采用estimated transmission count(ETX)作为度量,设计了最优多播路由算法least ETX multicast opportunistic routing(LEMOR),证明了利用LEMOR可得到最小的端到端ETX.仿真结果表明,与仅使用机会路由和仅使用多播相比,同时使用机会路由和多播的LEMOR算法能够显著提高网络的吞吐率.
How to improve the network capacity is one of the most important research areas in the field of wireless networks.The inherent time-varying and broadcast features of wireless channels have not been effectively applied in traditional routing, and opportunistic routing can utilize these features to achieve diversity.On the other hand, Multicast can take advantage of the many one-to-many services existing in the network and deliver data to multiple target nodes through a single transmission to improve the transmission efficiency.In this paper, the multicast routing problem is proposed from the perspective of Markov state transition , We use the estimated transmission count (ETX) as the metric to design the optimal multicast routing algorithm (LEMOR), which proves that the least end-to-end ETX can be obtained by using LEMOR. The simulation results show that, The LEMOR algorithm, which uses opportunistic routing and multicasting, can significantly improve network throughput compared to multicast alone.