Time Competition Flooding in High-Density Wireless Sensor Network

2016 ◽  
Author(s):  
Shuai Liu ◽  
Jeng-Shyang Pan ◽  
Lingpin Kong ◽  
Chien-Ming Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Density ◽  
Wireless Sensor

scholarly journals High-density data transmission and scheduling method in wireless sensor networks based on Wi-Fi

2020 ◽  
Vol 16 (7) ◽  
pp. 155014772094341
Author(s):  
Yajun Zhang ◽  
Gang Qiu ◽  
Meng Liu ◽  
Hongjun Wang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Generation Time ◽  
High Density ◽  
Wireless Sensor ◽  
Communication Model ◽  
Density Data ◽  
Energy Consumption Model ◽  
Scheduling Method

In wireless sensor network, the storage amount of information is high, and the transmission and scheduling of control information is reasonable. The node communication model, network structure model, and energy consumption model are constructed. On this basis, the high-density data in wireless sensor network are scheduled to optimize the time for nodes to perform tasks. The nodes in the network are fully scheduled to control the generation time of packets in the network and the generation time of packets in the network. Experimental results show that in different iterations, the proposed method has lower node delay and node energy consumption, with values less than 0.2 and 2, respectively, and the maximum data fusion quality can reach 98, with high fusion benefits, so as to improve the transmission and scheduling efficiency and quality of high-density data in wireless sensor network.

Energy-Efficient Node Scheduling for Dense Wireless Sensor Networks Using Voronoi Diagram

2012 ◽  
Vol 236-237 ◽  
pp. 1054-1066 ◽  
Author(s):  
Hai Feng Lin ◽  
Anna Jiang ◽  
Di Bai ◽  
Yun Fei Liu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Voronoi Diagram ◽  
Energy Resource ◽  
Data Communication ◽  
Traffic Monitoring ◽  
High Density ◽  
Wireless Sensor ◽  
Redundant Data

A wireless sensor network consists of distributed devices which can monitor physical and environmental conditions and have a lot of applications, such as environmental monitoring, habitat monitoring, object tracking, nuclear reactor controlling, fire detection and traffic monitoring. Although it has a lot of potential applications, a wireless sensor network is highly energy constrained. Limited energy resource to the sensor becomes an obstacle for its applications and efficient usage of energy helps in improving the network lifetime. Suppose a network has a high-density of sensor nodes, there will be lots of problems such as the intersection of sensing, redundant data, communication interference and energy waste. So it is necessary to set up a management application to maintain these resources. On the other hand, a high-density network can be fault tolerant and more accurate than low-density sensor networks. In this paper, we proposed a new scheduling for sensor networks which can decide the nodes to be on or off and maintain the coverage area for the original one. This management schema may take a node out of service temporally in order to save energy. Our design uses a Voronoi Diagram, which decomposes the sensing area into regions around each node.

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