NDLI: Multi-channel fingerprint localisation algorithm for wireless sensor network in multipath environment

Content Provider	IET Digital Library
Author	Fang, Xuming Nan, Lei Jiang, Zonghua Chen, Lijun
Abstract	Fingerprint localisation technology based on received signal strength indication (RSSI) is an active area of study in wireless sensor network (WSN) research, mainly because it is cheap and easy to implement. However, due to measurement noise and the multipath effect in RSSI, the accuracy of state-of-the-art fingerprint positioning algorithms is diminished. To solve this problem, the authors propose a multi-channel fingerprint localisation algorithm for WSNs in multipath environments. This algorithm also addresses the issue of existing techniques based on multi-channel signal strength requiring an accurate initial estimate of target–beacon distance or prior knowledge of the target–reference distance. Their proposed algorithm first uses an adaptive Kalman filter to reduce the noise in RSSI measured in different channels, and then calculates the matched fingerprint according to the weight of different channels. Finally, a memetic algorithm is utilised to generate the optimised estimate of fingerprint and location. Extensive experimental results on an actual WSN testbed show that the proposed algorithm improves the accuracy of the existing fingerprint localisation algorithm by at least 50%, regardless of the placement of target node, the number of beacon nodes, and the number of calibration points.
Starting Page	2253
Ending Page	2260
Page Count	8
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 15, Oct (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0429
Journal	IET Communications
Publisher Date	2017-07-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Kalman Filter Filtering Method in Signal Processing Fingerprint Localisation Technology Fingerprint Positioning Algorithm Measurement Noise Memetic Algorithm Multichannel Fingerprint Localisation Algorithm Optimisation Technique Radio Navigation And Direction Finding Received Signal Strength Indication RSSI Sensor Placement Target–beacon Distance Target–reference Distance Wireless Channel Wireless Sensor Network WSN
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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