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An ACO-Based Efficient Stagnation Avoidance Methodology for MANETS

机译:船只基于ACO的高效停滞方法

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The efficiency and behavior of a MANET depends on how well information can be passed around and delivered using Ant colony optimization (ACO). ACO algorithm heavily depends on how efficiently the pheromone is handled. Controlling pheromone is a challenging task. In this paper, an efficient pheromone decay technique is adopted which can be achieved by using stability factor '△'. The stability factor is the ratio of number of Hello packets received to the number of Hello packets sent. This dynamic changing ratio will help to decide the extent of pheromone to be decayed. The technique adopted is also termed as altered exponential decay technique (AET).
机译:MANET的效率和行为取决于信息如何通过蚁群优化(ACO)。 ACO算法严重取决于合法素如何处理。控制信息素是一个具有挑战性的任务。在本文中,采用了一种有效的信息素衰减技术,其可以通过使用稳定性因子'△'实现。稳定性因子是收到的Hello数据包数量与发送的Hello数据包数量的比率。这种动态变化的比率将有助于确定要腐烂的信息酮的程度。采用的技术也称为改变的指数衰减技术(AET)。

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