ArticleSensors (Basel, Switzerland)2019
An Adaptive, Discrete Space Oriented Wolf Pack Optimization Algorithm for a Movable Wireless Sensor Network.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Multi-Strategy Improved Sparrow Search Algorithm for Coverage Optimization in a WSN.Sensors (Basel, Switzerland) · 2023Article
- Fruchterman-Reingold Hexagon Empowered Node Deployment in Wireless Sensor Network Application.Sensors (Basel, Switzerland) · 2022Article
- PINC: Pickup Non-Critical Node BasedSensors (Basel, Switzerland) · 2021Article
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5 authors.
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Abstract
Recently, many related algorithms have been proposed to find an efficient wireless sensor network with good sustainability, a stable connection, and a high covering rate. To further improve the coverage rate of movable wireless sensor networks under the condition of guaranteed connectivity, this paper proposes an adaptive, discrete space oriented wolf pack optimization algorithm for a movable wireless sensor network (DSO-WPOA). Firstly, a strategy of adaptive expansion based on a minimum overlapping full-coverage model is designed to achieve minimum overlap and no-gap coverage for the monitoring area. Moreover, the adaptive shrinking grid search wolf pack optimization algorithm
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