Literature DB >> 34207777

An Adaptive Energy Saving Algorithm for an RSSI-Based Localization System in Mobile Radio Sensors.

Adam Olesiński1, Zbigniew Piotrowski1.   

Abstract

In localization systems based on the emission of reference radio signals, an important issue related to the reliability of sensor operation is the problem of operating time and power of the emitted reference radio signal. There are many localization methods that have proven useful in practice and that use a reference radio signal for this purpose. In the issue of determining the location of radio emitters, various radio signal propagation models are used to determine the effective range and distance of the sensor-receiver from the radio emitter. This paper presents an adaptive power control algorithm for a transmitter, as a reference emitter, operating in power-saving mode. An important advantage of the presented solution is the adjustment of the localization system accuracy at the assumed level of energy radiated by radio emitters based on the RSSI signal received power estimation.

Entities:  

Keywords:  automatic transmitter power control (ATPC); indoor localization; received signal strength indicator (RSSI); short range devices (SRD); wireless radio sensors

Year:  2021        PMID: 34207777     DOI: 10.3390/s21123987

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  4 in total

1.  Research on Compression Sensing Positioning Algorithm of Indoor Complex Environment Visible Light Indoor Based on Hybrid APIT.

Authors:  Yi Li
Journal:  Comput Intell Neurosci       Date:  2022-04-21

Review 2.  A Survey of Recent Indoor Localization Scenarios and Methodologies.

Authors:  Tian Yang; Adnane Cabani; Houcine Chafouk
Journal:  Sensors (Basel)       Date:  2021-12-03       Impact factor: 3.576

Review 3.  A Survey of Robot Swarms' Relative Localization Method.

Authors:  Siyuan Chen; Dong Yin; Yifeng Niu
Journal:  Sensors (Basel)       Date:  2022-06-11       Impact factor: 3.847

4.  An Improved Trilateration Positioning Algorithm with Anchor Node Combination and K-Means Clustering.

Authors:  Qinghua Luo; Kexin Yang; Xiaozhen Yan; Jianfeng Li; Chenxu Wang; Zhiquan Zhou
Journal:  Sensors (Basel)       Date:  2022-08-15       Impact factor: 3.847

  4 in total

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