首页> 外文会议>Proceedings of the 14th ACM international conference on modeling, analysis and simulation of wireless and mobile systems. >Ant Colony Optimization with Fuzzy Heuristic Information Designed for Cooperative Wireless Sensor Networks
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Ant Colony Optimization with Fuzzy Heuristic Information Designed for Cooperative Wireless Sensor Networks

机译:基于模糊启发式信息的协同无线传感器网络蚁群优化设计

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Biologically inspired networking is becoming a very active area of research and development because methods from biology have attractive features such as scalability and resilience to changes in the environment. In this paper, the authors propose a cross-layer protocol for cooperative wireless sensor networks, inspired by the collaborative behaviour of ant groups. The fuzzy heuristic information modelling is proposed to assist the clustering and routing processes at network layer. A resultant relaying threshold is combined with an adaptive invoking of cooperative modulation diversity, at link and physical layers. Simulation results show the performance enhancement in network lifetime and packet loss rate, compared with another cross-layer cooperative system. The evaluation of energy consumption distribution and a comparison between the performance of fuzzy and crisp modelling are also provided.
机译:受生物学启发的网络正在成为研究和开发的一个非常活跃的领域,因为生物学方法具有吸引人的功能,例如可伸缩性和对环境变化的适应性。在本文中,作者受蚂蚁群体的协作行为启发,提出了一种用于协作无线传感器网络的跨层协议。提出了模糊启发式信息建模方法,以辅助网络层的聚类和路由过程。在链路和物理层,将结果中继阈值与协作调制分集的自适应调用相结合。仿真结果表明,与另一个跨层协作系统相比,网络寿命和丢包率方面的性能都有提高。还提供了能耗分配的评估以及模糊和明晰建模性能之间的比较。

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