Research on Wireless Sensor Network Node Deployment and Recovery Based on 0-1 Programming Model

2013 ◽  
Vol 12 (23) ◽  
pp. 7466-7470
Author(s):  
Wang Zhang-quan ◽  
Liu Ban-teng ◽  
Chen You-rong
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Programming Model ◽  
Wireless Sensor ◽  
Network Node ◽  
Node Deployment

Node Deployment Algorithm Based on Perception Model of Wireless Sensor Network

2015 ◽  
Vol 9 (3) ◽  
pp. 210-215 ◽  
Author(s):  
Hengchang Jing ◽  
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Node ◽  
Coverage Problem ◽  
Node Deployment ◽  
Perception Model ◽  
Simulation Results

With the aim of solving the coverage problem of a wireless sensor network, a node deployment algorithm for the wireless sensor network, one based on a perception model, is designed in this work. The simulation results show that this algorithm can effectively deploy the wireless sensor network node, improve the network’s coverage, reduce the energy consumption of the network node, and help the network to function longer.

scholarly journals Method of Wireless Sensor Network Node Deployment for the Emergency Environment

2017 ◽  
Vol 13 (08) ◽  
pp. 163 ◽  
Author(s):  
Liang Ge ◽  
Qin Wang ◽  
Pan Hu ◽  
Ze Hu ◽  
JunBi Liao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Simulation Experiment ◽  
Emergency Evacuation ◽  
Wireless Sensor ◽  
Network Node ◽  
Practical Application ◽  
Strong Basis ◽  
Node Deployment ◽  
The Core

<p class="0abstract"><span lang="EN-US">Incidents could not always be avoided, resulting in significant losses for the state property and people's safety. Effective monitoring of incidents is becoming more and more important. Wireless sensor networks (WSNs) are widely used in environmental monitoring. On the basis of the existing wireless sensor network node deployment model, a network node deployment model was proposed, which was used in the monitoring of unexpected accidents. The model area was divided into the core area and the evacuation area, and different monitoring nodes deployment plans were applied in different areas. The simulation experiment is carried out by MATLAB, and the simulation results of the node coverage are obtained. Results show that the model for the practical application of the node deployment provides an effective deployment plan, as well as offers a strong basis for real-time monitoring and post-accident emergency evacuation.</span></p>

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