2015•IET Wireless Sensor SystemsRequires access

Experimental evaluation of reducing ranging‐error based on receive signal strength indication in wireless sensor networks

Rencheng Jin, Hao Xu, Zhiping Che, Qingye He, Liding Wang

Open publisher page 11 citations

Abstract

Node localisation technology is one of the most important technologies in wireless sensor networks. Receive signal strength indication (RSSI) technology is adopted to measure the distance between the sensor nodes in this paper, with comprehensive consideration of practicability, power consumption, cost and hardware. Reducing ranging‐error has been the key to location technology based on RSSI. Considering the random and systematic error of ranging, three schemes to reduce the ranging‐error are presented: outlier RSSI values processing, online modelling and error compensation. Through a large number of experiments under different conditions, it is demonstrated that the proposed three methods have better ranging performances, compared with the typical processing.

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What this paper is about

Node localisation technology is one of the most important technologies in wireless sensor networks. Receive signal strength indication (RSSI) technology is adopted to measure the distance between the sensor nodes in this paper, with comprehensive consideration of practicability, power consumption, cost and hardware. Reducing ranging‐error has been the key to location technology based on RSSI. Considering the random and systematic error of ranging, three schemes to reduce the ranging‐error are presented: outlier RSSI values processing, online modelling and error compensation. Through a large number of experiments under different conditions, it is demonstrated that the proposed three methods have better ranging performances, compared with the typical processing.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Node localisation technology is one of the most important technologies in wireless sensor networks. Receive signal strength indication (RSSI) technology is adopted to measure the distance between the sensor nodes in this paper, with comprehensive consideration of practicability, power consumption, cost and hardware. Reducing ranging‐error has been the key to location technology based on RSSI. Considering the random and systematic error of ranging, three schemes to reduce the ranging‐error are presented: outlier RSSI values processing, online modelling and error compensation. Through a large number of experiments under different conditions, it is demonstrated that the proposed three methods have better ranging performances, compared with the typical processing.

Key concepts: Ranging, Signal strength, Wireless sensor network, Received signal strength indication, SIGNAL (programming language), Computer science, Wireless, Environmental science

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