GTIACO: energy efficient clustering algorithm based on game theory and improved ant colony optimization

Recently, wireless sensor networks have been widely used for environmental and structural safety monitoring. However, node batteries cannot be replaced or easily recharged in harsh environments. Maximizing network lifetime remains a challenging issue in designing WSN routing. This paper introduces G...

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Veröffentlicht in:	Telecommunication systems Jg. 86; H. 3; S. 463 - 480
Hauptverfasser:	Wan, Hang, Qiu, Zhizhuo, Quan, Rui, David, Michael, Derigent, William
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2024 Springer Nature B.V Springer Verlag (Germany)
Schlagworte:	Algorithms Ant colony optimization Artificial Intelligence Business and Management Clustering Clusters Computer Communication Networks Computer Science Game theory Heuristic methods IT in Business Networking and Internet Architecture Probability Theory and Stochastic Processes Stability Structural safety Telecommunications systems Transmission efficiency Wireless sensor networks Ant colony optimization WSN Routing protocol Game theory Energy management Network lifecycle Game Theory Ant Colony Optimization Network Lifecycle Energy Management Routing Protocol
ISSN:	1018-4864, 1572-9451
Online-Zugang:	Volltext
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