2009Unpublished venueRequires access

A Localization Algorithm Based on Geographical Similarity of RSSI in Wireless Sensor Networks

Guanglin He, Lintao Li, Li Lao

Open publisher page 3 citations

Abstract

A method based on positional similarity of received signal strength is introduced to be used in wireless sensor network localization. After the measurement of the received signal strength between nodes, nodes are divided into regions according to certain rules. The beacon node which has the strongest positional similarity to blind node is used as a reference node during the calculation of the blind node's coordinate. Through the simulation, it comes that the method based on positional similarity of received signal strength has more priority while the received signal strength has obvious regional influencing factors. It also has some reference value in other algorithms.

About this research paper

What this paper is about

A method based on positional similarity of received signal strength is introduced to be used in wireless sensor network localization. After the measurement of the received signal strength between nodes, nodes are divided into regions according to certain rules. The beacon node which has the strongest positional similarity to blind node is used as a reference node during the calculation of the blind node's coordinate. Through the simulation, it comes that the method based on positional similarity of received signal strength has more priority while the received signal strength has obvious regional influencing factors. It also has some reference value in other algorithms.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A method based on positional similarity of received signal strength is introduced to be used in wireless sensor network localization. After the measurement of the received signal strength between nodes, nodes are divided into regions according to certain rules. The beacon node which has the strongest positional similarity to blind node is used as a reference node during the calculation of the blind node's coordinate. Through the simulation, it comes that the method based on positional similarity of received signal strength has more priority while the received signal strength has obvious regional influencing factors. It also has some reference value in other algorithms.

Key concepts: Similarity (geometry), Signal strength, Node (physics), Wireless sensor network, Received signal strength indication, Computer science, SIGNAL (programming language), Algorithm

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