Shuai Liu's research while affiliated with Hangzhou Dianzi University and other places

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Publications (2)

Table 1 . Simulation parameters setting.
Figure 2. 3D UWSNs architecture by using the layered strategy. 3.1.2....
Figure 4. Data structure of the node. 
Figure 5. Recovery strategy of clusters. 
+1 Figure 5. Recovery strategy of clusters. 
A High-Efficiency Uneven Cluster Deployment Algorithm Based on Network Layered for Event Coverage in UWSNs
Article
Full-text available
  • Dec 2016
Most existing deployment algorithms for event coverage in underwater wireless sensor networks (UWSNs) usually do not consider that network communication has non-uniform characteristics on three-dimensional underwater environments. Such deployment algorithms ignore that the nodes are distributed at different depths and have different probabilities f...
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Figure 1. 3D UWSNs system model. Figure 1. 3D UWSNs system model. 
Table 2 . Settings of Simulation Parameters. 
Table 3 . Main Symbolic Notation of the NDACS Algorithm. 
Figure 6. Flowchart of the optimal activation strategy.  
+2 Figure 8. Flowchart of the depth-adjustment strategy.  
A Depth-Adjustment Deployment Algorithm Based on Two-Dimensional Convex Hull and Spanning Tree for Underwater Wireless Sensor Networks
Article
Full-text available
  • Jul 2016
Most of the existing node depth-adjustment deployment algorithms for underwater wireless sensor networks (UWSNs) just consider how to optimize network coverage and connectivity rate. However, these literatures don't discuss full network connectivity, while optimization of network energy efficiency and network reliability are vital topics for UWSN d...
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Citations

... Nonetheless, these directing convention's effectiveness does not meet the required criteria. It merits referencing that, we are inspired by the steering procedure of the AHH-VBF [9] which is a location-aware routing protocol and uses the adaptive virtual pipeline concept. In AHH-VBF protocol, the pipeline radius and radius for transmitting data packet are adaptively adjusted hop by hop to avoid unwanted energy consumption. ...
Reference: Void Hole Avoidance Based on Sink Mobility and Adaptive Two Hop Vector-Based Forwarding in Underwater Wireless Sensor Networks
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... The authors of [19] set a mobile sink as the relay node to balance the energy consumption of each node during data gathering. Ref. [20] constructed a node scheduling and depth adjustment algorithm using the theory of two-dimensional convex hull and spanning tree to obtain higher network coverage. For wireless sensor networks, considering the mobility of nodes, ref. [21] obtained the optimal combination of nodes through an optimization algorithm to improve tracking accuracy. ...
Reference: Node Depth Adjustment Based Target Tracking in Sparse Underwater Sensor Networks
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