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.

Parallel Ant Colony Algorithm Based on Award-Punishment Mechanism and its Application on Wireless Sensor Network Routing

2013 ◽  
Vol 397-400 ◽  
pp. 1117-1120
Author(s):  
Hai Yang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Ant Colony Algorithm ◽  
Network Routing ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Energy Consumption Model ◽  
Punishment Mechanism

As a new method of obtaining information and disposal pattern, wireless sensor network has been a hot issue nowadays. In this paper the network model and energy consumption model of wireless sensor network are introduced firstly. The improved inspiring factor takes energy into account. Then a parallel ant colony algorithm based on award-punishment mechanism is proposed. The experimental results show that the energy consumption and time delay of the improved algorithm are superior to energy efficient ant based routing and basic ant colony algorithm.

An Energy Efficient Estimation Algorithm for Wireless Sensor Network

2011 ◽  
Vol 216 ◽  
pp. 176-180
Author(s):  
Yong Ding ◽  
Yue Mei Su
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Estimation Algorithm ◽  
Efficient Estimation ◽  
Wireless Sensor ◽  
Estimation Algorithms ◽  
Current Energy

Wireless Sensor Networks functionality is closely related to network lifetime which depends on the energy consumption, so require energy- efficient protocols to improve the network lifetime. According to the analysis and summary of the current energy efficient estimation algorithms in wireless sensor network An energy-efficient algorithm is proposed,. Then this optimization algorithm proposed in the paper is adopted to improve the traditional diffusion routing protocol. Simulation results show that this algorithm is to effectively balance the network energy consumption, improve the network life-cycle and ensure the communication quality.

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