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Artificial bee colony-based satellite selection for multi-constellation GNSS receiver.

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Title: Artificial bee colony-based satellite selection for multi-constellation GNSS receiver.
Authors: Singh, Prateek1 (AUTHOR) prateeksingh047@gmail.com, Sharma, Nitin1 (AUTHOR) nitinn@goa.bits-pilani.ac.in
Source: Sādhanā: Academy Proceedings in Engineering Sciences. Jun2026, Vol. 51 Issue 2, p1-14. 14p.
Subjects: Metaheuristic algorithms, Swarm intelligence, Bees algorithm, Global Positioning System
Abstract: Over the past decade, more global navigation satellite system (GNSS) satellites have led to the development of receivers that support multiple constellations. Advances in receiver technology to support multi-GNSS constellations require more power and resources, making them unsuitable for budget-friendly wearables and smartphones. For multi-GNSS constellations, geometric dilution of precision (GDOP) is a key measurement unit selection parameter. Identifying the optimal subset requires an exhaustive search since the GDOP performance criterion is both non-linear and non-separable, making direct analytical solutions impractical. Traditional matrix inverse GDOP calculation requires several operations that use more resources and power. This paper revisits GDOP parameterization in multi-GNSS constellations and proposes an efficient swarm-based meta-heuristic approach to filter satellites using GDOP without compromising receiver performance accuracy. The proposed method optimizes computation by selecting the best satellites for position calculation. Multi-GNSS (GPS and NAVIC) cases show that the proposed method is 4–7 times faster and 72–87% more efficient than the traditional traversal method. [ABSTRACT FROM AUTHOR]
Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Artificial bee colony-based satellite selection for multi-constellation GNSS receiver.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Prateek%22">Singh, Prateek</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> prateeksingh047@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sharma%2C+Nitin%22">Sharma, Nitin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> nitinn@goa.bits-pilani.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Sādhanā%3A+Academy+Proceedings+in+Engineering+Sciences%22">Sādhanā: Academy Proceedings in Engineering Sciences</searchLink>. Jun2026, Vol. 51 Issue 2, p1-14. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Bees+algorithm%22">Bees algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Global+Positioning+System%22">Global Positioning System</searchLink>
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  Label: Abstract
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  Data: Over the past decade, more global navigation satellite system (GNSS) satellites have led to the development of receivers that support multiple constellations. Advances in receiver technology to support multi-GNSS constellations require more power and resources, making them unsuitable for budget-friendly wearables and smartphones. For multi-GNSS constellations, geometric dilution of precision (GDOP) is a key measurement unit selection parameter. Identifying the optimal subset requires an exhaustive search since the GDOP performance criterion is both non-linear and non-separable, making direct analytical solutions impractical. Traditional matrix inverse GDOP calculation requires several operations that use more resources and power. This paper revisits GDOP parameterization in multi-GNSS constellations and proposes an efficient swarm-based meta-heuristic approach to filter satellites using GDOP without compromising receiver performance accuracy. The proposed method optimizes computation by selecting the best satellites for position calculation. Multi-GNSS (GPS and NAVIC) cases show that the proposed method is 4–7 times faster and 72–87% more efficient than the traditional traversal method. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s12046-026-03068-x
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      – Code: eng
        Text: English
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        PageCount: 14
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    Subjects:
      – SubjectFull: Metaheuristic algorithms
        Type: general
      – SubjectFull: Swarm intelligence
        Type: general
      – SubjectFull: Bees algorithm
        Type: general
      – SubjectFull: Global Positioning System
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              Text: Jun2026
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              Y: 2026
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