Minimizing Location Uncertainty in Deployment of Access Points

P. Zhuang, Qingguo Wang, Yi Shang, Hongchi Shi
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引用次数: 0

Abstract

In recent years, wireless sensor networks have been applied to several applications of data gathering and target localization across large geographical areas. In this paper, based on a representative sensor network system for lost hiker localization in wilderness areas, we study the problem of sensor/access-point deployment in constrained environments with the goal of minimizing localization uncertainty. We first present theoretical analysis of the problems for different problem attributes. Then we propose an efficient two-phase algorithm to find the access point placement with four different heuristics. In addition, we present experimental results to compare the performance of different heuristics and one heuristic namely divide-merge is shown to outperform all others and achieves solutions very close to the optimal
最小化接入点部署中的位置不确定性
近年来,无线传感器网络已被应用于跨大地理区域的数据采集和目标定位。本文基于一个具有代表性的野外迷路徒步者定位传感器网络系统,以最小化定位不确定性为目标,研究了受限环境下传感器/接入点的部署问题。我们首先对不同问题属性下的问题进行了理论分析。然后,我们提出了一种有效的两阶段算法,利用四种不同的启发式方法来寻找接入点的位置。此外,我们还提供了实验结果来比较不同启发式算法的性能,其中一种启发式算法即分割合并算法的性能优于所有其他启发式算法,并获得非常接近最优的解决方案
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