当前位置: X-MOL 学术Wireless Pers. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A New Clustering-Based Approach for Target Tracking to Optimize Energy Consumption in Wireless Sensor Networks
Wireless Personal Communications ( IF 1.9 ) Pub Date : 2020-06-03 , DOI: 10.1007/s11277-020-07534-5
Rahim Hosseini , Hamid Mirvaziri

The emergence of wireless sensor networks is counted among the most significant achievements of the late 20’s. Nowadays, by the ever increasing utilization of new technologies, accessibility of distributed processing technologies and the rising demand for these technologies in regions unreachable or hard-to-reach for humans, their application is greatly expanded. In this study, the objective application is target tracking in protected zones. In this respect, tracking and accurate position reporting of targets in the defined time unit is the main objective. Nevertheless, one of the challenges in these networks is their short lifetime. This is due to the energy limitation of the power supply in each unit. The topic of target tracking in wireless sensor networks is of great importance because on one hand, for their lack of recharge ability, sensor nodes get depleted quite quickly, while on the other hand, losing the target is a highly undesirable event that may severely hamper the functionality of the network. Thus, we are searching for a solution that minimizes tracking errors. In this paper, we propose a strategy for target tracking in wireless sensor networks that is able to generate the least possible tracking error while consuming the minimum energy.



中文翻译:

一种新的基于群集的目标跟踪方法,以优化无线传感器网络中的能耗

无线传感器网络的出现被认为是20年代后期最重要的成就。如今,由于新技术的不断利用,分布式处理技术的可访问性以及人类无法到达或难以到达的地区对这些技术的需求不断增长,其应用得到了极大的扩展。在这项研究中,目标应用是在保护区内进行目标跟踪。在这方面,主要目标是在定义的时间单位内跟踪并准确报告目标位置。然而,这些网络的挑战之一是使用寿命短。这是由于每个单元中电源的能量限制所致。无线传感器网络中的目标跟踪这一主题非常重要,因为一方面,由于缺乏充电能力,传感器节点很快耗尽,而另一方面,丢失目标是非常不希望的事件,可能会严重阻碍网络的功能。因此,我们正在寻找使跟踪误差最小的解决方案。在本文中,我们提出了一种在无线传感器网络中进行目标跟踪的策略,该策略能够在消耗最少能量的同时产生尽可能小的跟踪误差。

更新日期:2020-06-03
down
wechat
bug