Target tracking of binary wireless sensor networks in the domain of medicine and healthcare

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Su Ling-dong, Zhai Ming-yue, Mao Qi-lin
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引用次数: 3

Abstract

In the domain of medicine and healthcare M&HC, wireless sensor networks WSNs play a more and more important role. Under some special situations, the object of the WSN is moving leading to the problems of target tracking. Since real-time and communication amount is crucial for the WSN target tracking, the performance of target tracking in the WSN is critically depended on real-time and communication amount reduction. This paper presents a target tracking method based on distributed adaptive particle filtering in binary WSN. On the basis of dynamic clustering, the adaptive particle filter receives the observations from children nodes and formulates the local estimate with the cluster head as the processing centre. Simulation results show that the method can effectively improve the real-time tracking and reduce communication amount.
二值无线传感器网络在医疗卫生领域的目标跟踪
在医药卫生领域,无线传感器网络wsn发挥着越来越重要的作用。在一些特殊情况下,无线传感器网络的目标是运动的,导致目标跟踪问题。由于实时性和通信量对WSN目标跟踪至关重要,因此WSN中目标跟踪的性能关键取决于实时性和通信量的降低。提出了一种基于分布式自适应粒子滤波的二值WSN目标跟踪方法。在动态聚类的基础上,自适应粒子滤波接收子节点的观测值,并以簇头为处理中心进行局部估计。仿真结果表明,该方法能有效提高跟踪实时性,减少通信量。
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来源期刊
International Journal of Sensor Networks
International Journal of Sensor Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
2.40
自引率
27.30%
发文量
86
期刊介绍: IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Topics covered include: -Energy efficiency, energy efficient protocols- Applications- Location techniques, routing, medium access control- Coverage, connectivity, longevity, scheduling, synchronisation- Network resource management, network protocols, lightweight protocols- Fault tolerance/diagnostics- Foundations- Data storage, query processing, system architectures, operating systems- In-network processing and aggregation- Learning of models from data- Mobility- Performance analysis- Sensor tasking and control- Security, privacy, data integrity- Modelling of systems/physical environments, simulation tools/environments.
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