Multi-area Path Planning for Wireless Sensor Networks Based on Double Populations Ant Colony Optimization Algorithm

Aiming at the problem that the ant colony algorithm(ACO) is slow to converge and easily fall into the local optimal value in the path planning of multi-area wireless sensor networks(WSNs), an improved ant colony optimization algorithm is proposed. First, a grid method was used to model two different...

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Veröffentlicht in:	2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) S. 152 - 159
Hauptverfasser:	Zhai, Chenxuan, Wang, Minghua, Jiang, Kaiwu, Wang, Yan, Fan, Bo, Wang, Chao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2020
Schlagworte:	Ant Colony Optimization algorithms(ACO) Convergence Double Populations Ant Colony Optimization algorithms(DPACO) Electrical engineering Heuristic algorithms Path planning Sociology Statistics Wireless sensor networks Wireless Sensor Networks(WSNs)
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