Distributed Stable Routing with Adaptive Power Control for Multi-Flow and Multi-Hop Mobile Cognitive Networks
Distributed Stable Routing with Adaptive Power Control for Multi-Flow and Multi-Hop Mobile Cognitive Networks
复制标题
用于多流和多跳移动认知网络的具有自适应功率控制的分布式稳定路由
DOI：
10.1109/tmc.2018.2885762
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发表时间：
2019-12
影响因子：
7.9
通讯作者：
Li Xu
中科院分区：
文献类型：
--
作者：
Feilong Tang;Heteng Zhang;Luoyi Fu;Li Xu
在现有的移动的自组织认知网络（MACNet）路由算法中，节点被配置为具有固定的甚至是最大的发射功率。通过这样的算法建立的链路经常遭受过度的同信道干扰，这显著降低了MACNet的性能，因为链路稳定性高度依赖于不仅节点移动性，而且同信道干扰。在本文中，我们研究如何提高路由稳定性，通过联合考虑路由与自适应功率调整和移动性控制。我们首先提出了一套功率调整策略，动态设置认知节点的传输功率，使潜在的干扰链路的持续时间尽可能长。然后，我们设计了一个路由度量称为综合链路稳定性（ILS）定量测量链路的稳定性。这种新的度量ILS同时考虑了节点移动性和信道干扰。最后，我们提出了一个联合稳定路由和自适应功率调整（J-SRAPA）算法的多流和多跳的MACNet，以最大限度地提高网络吞吐量的目标。J-SRAPA在路由建立和数据传输过程中，以分布式的方式动态调整发射功率，以减轻同频干扰，提高信道利用率。基于NS 2的仿真结果表明，J-SRAPA算法在网络吞吐量、端到端传输时延和丢包率方面明显优于相关路由算法，并且MACNet的信道干扰程度越高，J-SRAPA算法对网络的改善越大。
In most existing routing algorithms for mobile ad hoc cognitive networks (MACNets), nodes are configured with a fixed even maximal transmission power. Links set up by such the algorithms often suffer from excessive co-channel interference, which significantly downgrades performance of MACNets because the link stability highly depends on not only node mobility but also co-channel interference. In this paper, we investigate how to improve route stability through jointly considering routing with adaptive power adjustment and mobility control. We first propose a set of power adjustment policies which dynamically sets up transmission power of cognitive nodes to enable the duration of links potentially interfered as long as possible. We, then, design a routing metric called integrated link stability (ILS) to quantitatively measure the link stability. This novel metric ILS considers both node mobility and channel interference. Finally, we propose a Joint Stable Routing and Adaptive Power Adjustment (J-SRAPA) algorithm for multi-flow and multi-hop MACNets, with the objective of maximizing network throughput. J-SRAPA dynamically adjusts the transmission power in a distributed way to mitigate co-channel interference and to improve channel utilization ratio accordingly, during both route setup and data transmission. NS2-based simulation results demonstrate that our J-SRAPA significantly outperforms related routing algorithms in terms of network throughput, end-to-end transmission delay, and packet loss ratio; and the higher channel interference degree MACNets experience, the more improvement our J-SRAPA will bring to the networks.
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影响因子：
7.9
作者：
Lee, Won-Yeol;Akyildiz, Ian F.
通讯作者：
Akyildiz, Ian F.
DOI：
10.1109/infocom.2006.201
发表时间：
2006-12
期刊：
Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications
影响因子：
--
作者：
F. Baccelli;N. Bambos;Carri W. Chan
通讯作者：
F. Baccelli;N. Bambos;Carri W. Chan
多跳认知无线电网络的联合频谱分配和功率控制
影响因子：
7.9
作者：
Wang, Wei;Shin, Kang G.;Wang, Wenbo
通讯作者：
Wang, Wenbo
影响因子：
7.9
作者：
Li Sun;Wei Zheng;Naveen Rawat;Vikramsinh Sawant;Dimitrios Koutsonikolas
通讯作者：
Li Sun;Wei Zheng;Naveen Rawat;Vikramsinh Sawant;Dimitrios Koutsonikolas
基于 IEEE 802.11 的多无线电多通道网状网络中的联合拓扑控制和路由
影响因子：
6.8
作者：
Chen, Lin;Zhang, Qian;Jia, Weijia
通讯作者：
Jia, Weijia