Improved metaheuristic-based energy-efficient clustering protocol with optimal base station location in wireless sensor networks

DOI10.1007/S00500-017-2815-0zbMath1415.90152OpenAlexW2755015372MaRDI QIDQ2001158

Satvir Singh, Palvinder Singh Mann

Publication date: 2 July 2019

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-017-2815-0

zbMATH Keywords

wireless sensor networksenergy-efficient clusteringimproved artificial bee colony (iABC) metaheuristic

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Approximation methods and heuristics in mathematical programming (90C59) Network protocols (68M12)

Uses Software

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• ABC

Cites Work

• Unnamed Item
• An artificial bee colony algorithm for the job shop scheduling problem with random processing times
• A global best artificial bee colony algorithm for global optimization
• Location problems with costs being sums of powers of Euclidean distances
• Improved artificial bee colony algorithm for global optimization
• A distributed energy-efficient clustering protocol for wireless sensor networks
• A comparative study of artificial bee colony algorithm
• EEMC: An energy-efficient multi-level clustering algorithm for large-scale wireless sensor networks
• Metaheuristic clustering
• Sums of Squares of Distances in m-Space

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