scholarly journals Sensor Node Deployment Strategy for Maintaining Wireless Sensor Network Communication Connectivity

2011 ◽  
Vol 2 (12) ◽  
Author(s):  
Shigeaki TANABE ◽  
Kei SAWAI ◽  
Tsuyoshi SUZUKI
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Network Communication ◽  
Node Deployment ◽  
Deployment Strategy

Wireless Sensor Node Deployment Research

2012 ◽  
Vol 503-504 ◽  
pp. 1514-1517
Author(s):  
Hai Shen Peng
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Energy Management ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Node Deployment ◽  
Gathering Data

In view of static wireless sensor node deployment efficiency low and dynamic wireless sensor node deployment non-uniform question, proposed based on a sensation environment object minute bunch with the motion proxy node gathering data method, effectively solves wireless sensor node deployment energy management and data collection and so on crucial the technical difficult problems, thus enhances the wireless sensor network the application value

scholarly journals Realistic acoustic sensor network deployment and radio coverage in terrain profile using 3d modeling

2018 ◽  
Vol 7 (1.8) ◽  
pp. 15
Author(s):  
Gajendra Sharma ◽  
Manish Kumar ◽  
Shekhar Verma
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Acoustic Sensor ◽  
Flat Surfaces ◽  
Deployment Strategy ◽  
Area Of Interest ◽  
Sensing Model

Acoustic sensing can be done by deploying a wireless sensor network in the area of interest. To detect anthrophonic events such as, deforestation along with monitoring the vehicle movement on the muddy road for smuggling intension. In the present time, anthrophonic event classification on the basis of wireless acoustic sensor node remain unanswered. This work explores speedy improvement in wireless acoustic sensor node that classify acoustic event applications. Wireless acoustic sensor node deployment strategy in outside surroundings is proposed. Most of the studies on sensor network in term of deployment consider on flat surfaces. The deployment of wireless sensor network in unequal surface like a forest was rarely reported. The aim is to maximize the quality of coverage of a wireless sensor on a forest surface. A probabilistic sensing model and line of sight algorithm are utilized for this purpose.

Recent and Future Node Deployment Strategies in the Underwater Sensor Network (UWSN)

2021 ◽  
pp. 34-44
Author(s):  
Krishna Pandey ◽  
Manish Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Generalized Model ◽  
Node Deployment ◽  
The Future ◽  
Underwater Sensor Network ◽  
Technical Challenges

The chapter focuses on the recent development in the field of the sensor node deployment in the UWSN (under water wireless sensor network). In the chapter, the technical challenges during the node deployment of the sensor nodes in the UWSN (under water wireless sensor network) are represented with prefacing the background. The chapter focuses on the different methods of node deployment and presents a generalized model for ensure the reliability. A view of analyzing the deployment of sensor nodes is also shown in the example by following the recent researches in the domain. Finally, the future scope and conclusion is represented with the idea of new paradigms in the deployment of sensor nodes in the UWSN.

scholarly journals Research of RDF Algorithm for Wireless Sensor Network Heterogeneous Node Deployment

2016 ◽  
Vol 12 (10) ◽  
pp. 81
Author(s):  
Xiaoqun Mao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sink Node ◽  
Message Delivery ◽  
Node Deployment ◽  
Deployment Strategy ◽  
Node Location

<p style="margin: 0in 0in 10pt;"><span style="font-family: Times New Roman; font-size: small;">The relation between the density of a randomly distributed wireless sensor network node and the node’s energy consumption is discussed, and the result shows that the way to extend the network lifetime is to deploy sink nodes in the field with a larger density of sensor nodes. Furthermore, the RDF algorithm a simple, effective and highly efficient strategy for deploying sink nodes, is proposed in this paper based on simulation results. The said algorithm determines the sink node location by giving reference for a large density of sensor nodes. Additionally, the sink node deployment can be efficiently achieved through dividing the region of network and the sink node communication range. Lastly, through simulation verification, the RDF algorithm deployment strategy is further proved valid and effective from the perspective of network lifetime and message delivery rate. </span></p>

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