Md. Sazzad Hossen, M. K. Kamal, Mohammad Shaifur Rahman
{"title":"Consistency analysis of RSSI measurement for distance estimation of Wireless Sensor nodes","authors":"Md. Sazzad Hossen, M. K. Kamal, Mohammad Shaifur Rahman","doi":"10.1109/ICCITECHN.2012.6509752","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Devices are becoming more attractive as a sensor platform compared to wired sensor device because of the ease of installation and freedom in sensor placement. The field of Wireless Sensor Network (WSN) has been increasing with the advancement of modern science and technology. In order to determine the location of sensor nodes, lots of localization algorithm have been established and proposed by the researchers. Since the Received Signal Strength Indicator (RSSI) is assumed to be a strong parameter, most of researches have been worked out for localization algorithm using RSSI. But it is found that lots of irregular values of RSSI are produced at different conditions. Thus it is so much troublesome to get the actual position of sensor nodes using RSSI. In our experiments, we tried to investigate the reasons of deviation in RSSI values in different conditions using TelosB sensor nodes. We showed the effects of different obstacles between the sensor nodes and their different orientations as well. The results show that, the distances, obstacles and sensor node orientations play a significant role in changing the RSSI values.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 15th International Conference on Computer and Information Technology (ICCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2012.6509752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Wireless Sensor Devices are becoming more attractive as a sensor platform compared to wired sensor device because of the ease of installation and freedom in sensor placement. The field of Wireless Sensor Network (WSN) has been increasing with the advancement of modern science and technology. In order to determine the location of sensor nodes, lots of localization algorithm have been established and proposed by the researchers. Since the Received Signal Strength Indicator (RSSI) is assumed to be a strong parameter, most of researches have been worked out for localization algorithm using RSSI. But it is found that lots of irregular values of RSSI are produced at different conditions. Thus it is so much troublesome to get the actual position of sensor nodes using RSSI. In our experiments, we tried to investigate the reasons of deviation in RSSI values in different conditions using TelosB sensor nodes. We showed the effects of different obstacles between the sensor nodes and their different orientations as well. The results show that, the distances, obstacles and sensor node orientations play a significant role in changing the RSSI values.
与有线传感器设备相比,无线传感器设备作为传感器平台正变得越来越有吸引力,因为它易于安装和自由放置传感器。随着现代科学技术的进步,无线传感器网络(WSN)领域不断发展壮大。为了确定传感器节点的位置,研究者们建立并提出了许多定位算法。由于接收信号强度指标(Received Signal Strength Indicator, RSSI)被假设为一个强参数,所以大多数研究都是基于RSSI的定位算法。但是我们发现在不同的条件下会产生很多不规则的RSSI值。因此,使用RSSI来获取传感器节点的实际位置是非常麻烦的。在我们的实验中,我们试图利用TelosB传感器节点来研究不同条件下RSSI值偏差的原因。我们还展示了传感器节点之间不同障碍物及其不同方向的影响。结果表明,距离、障碍物和传感器节点方向对RSSI值的变化有显著影响。