Autonomous and Adaptive Wireless Networking with Bio-inspired Algorithms
Autonomous and Adaptive Wireless Networking with Bio-inspired Algorithms
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DOI：
10.1109/isads.2011.85
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
N. Wakamiya;M. Murata
中科院分区：
文献类型：
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作者：
N. Wakamiya;M. Murata
新一代的网络将继续运行，并为用户和应用提供通信手段，同时暴露于动态和实质性的变化，如网络拓扑结构，流量和QoS要求的操作环境。为了建立一个具有高度适应性和可靠性的网络，我们采取了一种受生物系统启发的方法，这些生物系统能够适应动态变化甚至意外的环境。在本文中，我们展示了生物启发模型的应用实例，更具体地说，吸引子选择/组成模型建立在生物系统的自适应行为，自主和自适应网络在无线通信系统。第一个应用是移动自组网路由，其中连接源-目的地对的路径必须在动态变化的环境下保持。第二个应用是竞争具有异构特性的无线网络的节点和应用之间的资源分配。我们进一步讨论了生物启发自适应网络的未来方向。
A new generation network is expected to keep operating and providing users and applications with means of communication while being exposed to dynamic and substantial change in the operational environment such as network topology, traffic, and QoS requirement. To establish a highly adaptive and reliable network, we take an approach to be inspired by biological systems, which adapt themselves to dynamically changing and even unexpected environment. In this paper we show examples of application of bio-inspired models, more specifically the attractor selection/composition models built on adaptive behavior of biological systems, to autonomous and adaptive networking in wireless communication systems. The first application is MANET routing, where a path connecting a source-destination pair must be maintained under dynamically changing environment. The second application is resource allocation among nodes and applications competing for wireless networks with heterogeneous characteristics. We further discuss future direction of bio-inspired adaptive networking.