Bio inspired algorithm for disaster management

S. D. Chavan, A. Kulkarni, Tejashree S. Khot, Neeta Patil
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引用次数: 2

Abstract

Disaster occurs unexpectedly and affects communication system severely. Disaster management is an enormous task. They are not confined to any particular location neither their time period is predictable. Therefore, it is necessary that there is proper management to optimize efficiency of planning and response. Due to limited resources efforts at the governmental, private and community levels are necessary. Disaster not only affects life and property but also causes breakdown of communication system. In this paper we proposed bio inspired algorithms for disaster management. Bio inspired algorithms such as Genetic Algorithm and Artificial Bee Colony Algorithms are proposed for efficient disaster management. Bio inspired algorithms helps in maintaining communication system even in disaster conditions. Number of parameters such as throughput, End to End delay and Energy consumption are enhanced using bio inspired algorithms. Result shows that bio inspired algorithms helps in enhancing performance of wireless sensor network in disaster conditions.
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受生物启发的灾难管理算法
突发灾害对通信系统造成严重影响。灾害管理是一项艰巨的任务。它们不局限于任何特定的地点,它们的时间段也不可预测。因此,有必要有适当的管理来优化计划和响应的效率。由于资源有限,必须在政府、私人和社区各级作出努力。灾害不仅影响生命财产,而且还会造成通信系统的瘫痪。在本文中,我们提出了生物启发的灾害管理算法。生物启发算法,如遗传算法和人工蜂群算法提出了有效的灾害管理。生物启发算法有助于在灾难条件下维持通信系统。使用生物启发算法增强了吞吐量、端到端延迟和能耗等参数的数量。结果表明,生物启发算法有助于提高灾害条件下无线传感器网络的性能。
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