Radiation detection based heterogeneous Wireless Sensor Network

A. A. Elmagid, R. Ramadan, S. El-Ghanam, S. Al-Tabbakh, S. A. Kamh, M. Marie
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引用次数: 1

Abstract

Sensor deployment is one of the important problems in Wireless Sensor Network (WSN). Deployment affects the coverage of the network especially in critical applications such as in radiation detection. The contributions of this paper are 1) formulating the radiation detection deployment problem in a mathematical form where optimal solutions could be obtained, 2) utilizing one of the famous heuristic algorithms such as Genetic Algorithms (GA) for large scale deployment problems, 3) due to the importance of radiation detection, the paper focus on some of the characteristics of radiation detection problem including the subareas importance and the some of the sensors characteristics such as sensors' sensing and communication, etc. and 3) introducing a GA and Fuzzy logic as a hybrid solution to the problem in order to control the GA crossover and mutation percentages. Although, the concept of the hybrid algorithm is introduced in this paper for sensor deployment, it could be used to solve many other optimization problems. Through a large set of experiments with different problem settings, the efficiency of the proposed algorithms is verified.
基于异构无线传感器网络的辐射检测
传感器部署是无线传感器网络(WSN)中的重要问题之一。部署影响网络的覆盖范围,特别是在辐射探测等关键应用中。本文的贡献是:1)以数学形式表述辐射探测部署问题,从而获得最优解;2)利用著名的启发式算法之一,如遗传算法(GA)来解决大规模部署问题;3)由于辐射探测的重要性,本文重点讨论了辐射检测问题的子区域重要性和传感器的传感、通信等特性,并引入遗传算法和模糊逻辑作为该问题的混合解决方案,以控制遗传算法的交叉和突变百分比。虽然本文引入了混合算法的概念用于传感器部署,但它可以用于解决许多其他优化问题。通过不同问题设置的大量实验,验证了所提算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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