An Energy-Efficient Hierarchical Topology Control Algorithm in Software-Defined Wireless Sensor Network

Author(s):  
Zhiyuan Geng ◽  
Weiwei Xia ◽  
Weikun Cao ◽  
Tao Wu ◽  
Feng Yan ◽  
...  
2013 ◽  
Vol 846-847 ◽  
pp. 483-487
Author(s):  
Hui Bin Jia ◽  
Cai Xia Zhang

For the performance of wireless sensor network, topology control plays an important role. In order to save energy, prolong the lifetime of the network and reduce the interference between nodes, while ensuring the connectivity and reliability of data transmission, we propose a suitable scheme which is hierarchical topology control with distributed and a long-chain structure based on the monitoring of transmission and distribution lines. It is based on the study of the monitoring of transmission and distribution lines in wireless sensor network.This scheme will cluster with the deployed nodes, and fuse with data in the selected cluster head,in order to complete topology structure.To matlab optimization platform, using ant colony optimization algorithm to remove some redundant links, so that data transmit to the monitoring center reliably and complete real-time monitoring of the lines,thus prolong the lifetime of the network.


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yongwen Du ◽  
Zhangmin Wang ◽  
Junhui Gong ◽  
Ning Xu ◽  
Xiaohui Hu

Because of the complexity of the environment and the limited resources of nodes, there will be an imbalanced energy consumption and a short life among nodes in the wireless sensor network. In this paper, by introducing the concept of game theory and supermodel game theory, we solve the challenge of a wireless sensor network topology control method based on cross-layer information design. The cross-layer information such as node degree, network connectivity, and MAC layer interference is integrated into the design of utility function to establish a new topological game model. Then, based on this topology control model, we propose a cross-layer optimized energy-balanced topology control algorithm (COETC). Compared with other algorithms, our COETC algorithm not only guarantees the network connectivity and robustness while reducing the required node transmitting power but also achieves good energy balance and high energy efficiency. Ultimately, our method effectively prolongs network lifetime and improves network performance.


2013 ◽  
Vol 36 (4) ◽  
pp. 1186-1195 ◽  
Author(s):  
Chao-Yang Lee ◽  
Liang-Cheng Shiu ◽  
Fu-Tian Lin ◽  
Chu-Sing Yang

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