{"title":"基于RSSI-LQI的无线传感器网络自适应距离校正定位算法","authors":"Huang Yuanliang, Huang Wei","doi":"10.1504/IJSNET.2014.065875","DOIUrl":null,"url":null,"abstract":"For the problem of wireless location error caused by the effects of environmental factors on received signal strength indication (RSSI) and link quality indicator (LQI), this paper put forward a new self-adaptive distance correction algorithm, which adopted Gaussian model to sift RSSI and LQI. Besides, a direction correction factor and a distance threshold were defined in the improved trilateration localisation algorithm and the improved distance difference correction localisation algorithm. This algorithm with the advantages of short locating time, low hardware spending and little power consumption can effectively improve the location accuracy. The simulation results proved that its location precision was more than 97.3%, which is quite practical for wireless location.","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":"189 1","pages":"106-113"},"PeriodicalIF":1.1000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A self-adaptive distance correction localisation algorithm based on RSSI-LQI for WSNs\",\"authors\":\"Huang Yuanliang, Huang Wei\",\"doi\":\"10.1504/IJSNET.2014.065875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the problem of wireless location error caused by the effects of environmental factors on received signal strength indication (RSSI) and link quality indicator (LQI), this paper put forward a new self-adaptive distance correction algorithm, which adopted Gaussian model to sift RSSI and LQI. Besides, a direction correction factor and a distance threshold were defined in the improved trilateration localisation algorithm and the improved distance difference correction localisation algorithm. This algorithm with the advantages of short locating time, low hardware spending and little power consumption can effectively improve the location accuracy. The simulation results proved that its location precision was more than 97.3%, which is quite practical for wireless location.\",\"PeriodicalId\":49177,\"journal\":{\"name\":\"International Journal of Sensor Networks\",\"volume\":\"189 1\",\"pages\":\"106-113\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sensor Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1504/IJSNET.2014.065875\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sensor Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1504/IJSNET.2014.065875","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
A self-adaptive distance correction localisation algorithm based on RSSI-LQI for WSNs
For the problem of wireless location error caused by the effects of environmental factors on received signal strength indication (RSSI) and link quality indicator (LQI), this paper put forward a new self-adaptive distance correction algorithm, which adopted Gaussian model to sift RSSI and LQI. Besides, a direction correction factor and a distance threshold were defined in the improved trilateration localisation algorithm and the improved distance difference correction localisation algorithm. This algorithm with the advantages of short locating time, low hardware spending and little power consumption can effectively improve the location accuracy. The simulation results proved that its location precision was more than 97.3%, which is quite practical for wireless location.
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.