A swarm-based fuzzy logic control mobile sensor network for hazardous contaminants localization

2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975) Pub Date : 2004-10-25 DOI:10.1109/MAHSS.2004.1392158

Xiaohui Cui, C. Hardin, R. Ragade, Adel Said Elmaghraby

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引用次数: 100

Abstract

We describe a swarm-based fuzzy logic control (FLC) mobile sensor network approach for collaboratively locating the hazardous contaminants in an unknown large-scale area. The mobile sensor network is composed of a collection of distributed nodes (robots), each of which has limited sensing, intelligence and communication capabilities. An ad-hoc wireless network is established among all nodes, and each node considers other nodes as extended sensors. By gathering other nodes' locations and measurement data, each node's FLC can independently determine its next optimal deployment location. Simultaneously, by applying the three properties of the swarm behavior: separation, cohesion and alignment, the approach can ensure the sensor network attains wide regional coverage and dynamically stable connectivity. The simulation presented in this paper shows the swarm-based FLC mobile sensor network can achieve better performance and have higher fault tolerance in the event of partial node failures and sensor measurement errors.

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基于群的模糊逻辑控制移动传感器网络有害污染物定位

提出了一种基于群体的模糊逻辑控制(FLC)移动传感器网络方法，用于在未知大范围内协同定位有害污染物。移动传感器网络由分布式节点(机器人)的集合组成，每个节点都具有有限的传感、智能和通信能力。在所有节点之间建立自组织无线网络，每个节点将其他节点视为扩展传感器。通过收集其他节点的位置和测量数据，每个节点的FLC可以独立确定其下一个最佳部署位置。同时，利用群体行为的分离性、内聚性和对齐性，保证了传感器网络具有广泛的区域覆盖和动态稳定的连通性。仿真结果表明，在部分节点故障和传感器测量误差的情况下，基于群的FLC移动传感器网络具有更好的性能和容错能力。

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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来源期刊

2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975)

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