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Wireless Sensor Network Performance Research for Leach Based on Multi-agent Simulation

机译:基于多主体仿真的浸出无线传感器网络性能研究

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Due to the limited data transmission capability, most of the sensor nodes in the wireless sensor networks(WSN) cannot send data to the base station directly. In most situations the data transfer has to be done by the means of multi-hop. Low Energy Adaptive Clustering Hierarchy(LEACH) is one of the most widely used multi-hop strategies. However, as there are many random factors interrelated with each other in the networks, it's very difficult to evaluate the network performance for LEACH, which has become a hotpot of current research. Since lifetime is the most important network performance indicator, this paper collects the network operation parameters including working period through multi-agent simulation and computational experiments, and evaluates the network performance in different situations based on the collected data. The results would provide practical advices for optimizing the network performance and come up with a new thinking of adopting multi-agent simulation in WSN research.
机译:由于有限的数据传输能力,无线传感器网络(WSN)中的大多数传感器节点无法直接将数据发送到基站。在大多数情况下,数据传输必须通过多跳来完成。低能耗自适应聚类层次结构(LEACH)是使用最广泛的多跳策略之一。但是,由于网络中存在许多相互关联的随机因素,因此很难评估LEACH的网络性能,这已成为当前研究的热点。由于生命周期是最重要的网络性能指标,因此本文通过多主体仿真和计算实验来收集网络运行参数,包括工作周期,并根据所收集的数据评估不同情况下的网络性能。研究结果将为优化网络性能提供实用的建议,并提出在无线传感器网络研究中采用多智能体仿真的新思路。

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