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Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment

机译:在无线传感器网络环境中利用Cat群优化分配接收节点

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A general wireless sensor network (WSN) is a system composed of a large number of sensor nodes. In the WSN system, all sensor nodes are responsible for sensing the interested events and transmitting the related information back to the sink node. The sink node acts like the brain of the whole WSN system for processing the collected data and giving control commands. The position of the sink node directly affects the data transmission efficiency and the distance from the terminal sensor node to the sink node. Thus, choosing the correct place to place the sink node in the whole network is a delicate work. In this paper, we propose a sink node placement method by proposing a newly designed object function and utilizing Cat Swarm Optimization (CSO) to find out the near best location for placing the sink node. The simulation results indicate that our proposed method presents good performance compared with the conventional Particle Swarm Optimization (PSO) algorithm in reducing the overall energy consumption and prolongs the lifetime of network in an efficient way.
机译:通用无线传感器网络(WSN)是一个由大量传感器节点组成的系统。在WSN系统中,所有传感器节点负责感测感兴趣的事件并将相关信息发送回接收节点。接收器节点的行为就像整个WSN系统的大脑一样,用于处理收集的数据并发出控制命令。宿节点的位置直接影响数据传输效率以及从终端传感器节点到宿节点的距离。因此,选择正确的位置将宿节点放置在整个网络中是一项艰巨的工作。在本文中,我们通过提出一种新设计的对象函数并利用Cat Swarm Optimization(CSO)来找出用于放置宿节点的最佳位置,从而提出了宿节点的放置方法。仿真结果表明,与传统的粒子群优化算法相比,本文提出的方法在降低总体能耗,有效延长网络寿命方面具有良好的性能。

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