Enhanced Horse Optimization Algorithm Based Intelligent Query Optimization in Crowdsourcing Systems
- Title
- Enhanced Horse Optimization Algorithm Based Intelligent Query Optimization in Crowdsourcing Systems
- Creator
- Renukadevi M.; Anita E.A.M.; Geetha D.M.
- Description
- Crowdsourcing is a strategy of collecting information and knowledge from an abundant range of individuals over the Internet in order to solve cognitive or intelligence intensive challenges. Query optimization is the process of yielding an optimized query based upon the cost and latency for a given location based query. In this view, this article introduces an Enhanced Horse Optimization Algorithm based Intelligent Query Optimization in Crowdsourcing Systems (EHOA-IQOCSS) model. The presented EHOA-IQOCSS model mainly based on the enhanced version of HOA using chaotic concepts. The proposed model plans to accomplish a better trade-off between latency and cost in the query optimization process along with answer quality. The EHOA-IQOCSS is used to compute the Location-Based Services (LBS) namely K-Nearest Neighbor (KNN) and range queries, where the Space and Point of Interest (POI) can be obtained by the conviction level computation. The comparative study stated the betterment of the EHOA-IQOCSS model over recent methods. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Source
- Communications in Computer and Information Science, Vol-1797 CCIS, pp. 234-249.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Crowdsourcing; EHOA-IQOCSS; Location-based services; Query optimization
- Coverage
- Renukadevi M., Department of Electronics andCommunication Engineering, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, India; Anita E.A.M., Department of CSE, School of Engineering and Technology, CHRIST University, Bengaluru, India; Geetha D.M., Department of Electronics andCommunication Engineering, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, India
- Rights
- Restricted Access
- Relation
- ISSN: 18650929; ISBN: 978-303128179-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Renukadevi M.; Anita E.A.M.; Geetha D.M., “Enhanced Horse Optimization Algorithm Based Intelligent Query Optimization in Crowdsourcing Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/20001.