基于生物发光萤火虫行为的无线传感器网络拥塞控制

M. S. Manshahia, M. Dave, S. Singh
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引用次数: 7

摘要

无线传感器网络中的拥塞问题是近年来许多研究者关注的问题。在剩余能量、重传距离、源到目的距离等参数的基础上,提出一种算法规则,实现最优路由。本文采用萤火虫算法规则,利用萤火虫的吸引力问题来控制无线传感器网络传输层的拥塞。结果还表明,与拥塞检测和避免(CODA)和粒子群优化(PSO)相比,投影方法在网络寿命和网络吞吐量方面是最好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Congestion Control in Wireless Sensor Networks Based on Bioluminescent Firefly Behavior
Congestion in Wireless Sensor Network (WSN) is an issue of concern for several researchers in recent years. The key challenge is to develop an algorithmic rule which may realize the optimased route on the idea of parameters like residual energy, range of retransmissions and the distance between source and destination. The Firefly Algorithmic rule is implemented in this paper that relies on the attractiveness issue of the firefly insect to control congestion in WSN at transport layer. The results additionally show that the projected approach is best as compared to Congestion Detection and Avoidance (CODA) and Particle Swarm Optimization (PSO) on network lifetime and throughput of the network.
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