Sink‐Convergence Cascading Model for Wireless Sensor Networks with Different Load‐Redistribution Schemes

Fu, Xiuwen; Yao, Haiqing; Yang, Yongsheng

doi:10.1155/2019/7630168

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…A reliable control design for networked control systems which is applied in satellite systems is proposed in [25]. Fu et al set up a cascading model for wireless sensor networks with different load-redistribution schemes, which reflects the traffic influence on the MANET networks [26]. Zhao et al proposed an extended recursive Cramer-Rao lower bound method to analyze the performance of wireless indoor localization signals, which is useful to enhance the reliability of another wireless scenario [27].…”

Section: Related Workmentioning

confidence: 99%

Recovery Routing Based on Q-Learning for Satellite Network Faults

Qin

Dong³

et al. 2020

Complexity

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With the fierce research on the space and terrestrial network, the satellite network as the main component has received increasing attention. Due to its special operating environment, there are temporary link failures caused by interference and permanent port failures caused by equipment problems. In this paper, we propose a new satellite network routing technology for fault recovery based on fault detection. Based on Bayesian decision, this technology judges the probability of each fault by a priori probability of the two faults to achieve the purpose of effectively distinguishing between two types of faults and locate faulty links and node ports. Then, corresponding to the previous two stages of the fault detection, different stages and different methods are updated for different types of fault. We also combine satellite network data from satellite simulation software to validate our study. The results show that the recovery strategy has good performance, and the effective resource utilization rate is improved significantly.

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Section: Related Workmentioning

confidence: 99%

Recovery Routing Based on Q-Learning for Satellite Network Faults

Qin

Dong³

et al. 2020

Complexity

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“…ere are many network topologies constructed for good transmission of the collected data, such as cluster-based topology [13][14][15][16][17], tree-based topology [18][19][20], and other topologies [21]. In references [22][23][24], the authors give comprehensive introduction to the performance of the abovementioned topologies in the WSNs, which indicate that the quality of topology has a great influence on data transmission, especially in some practical networks [23,25,26].…”

Section: Introductionmentioning

confidence: 99%

Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm

Zhang

Yang

2020

Complexity

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Aiming at the transmission of heterogeneous data in heterogeneous networks, a topology optimization algorithm of heterogeneous wireless sensor networks based on local tree reconstruction is proposed, which can achieve better data transmission in the heterogeneous networks. First, the algorithm divides the nodes of the network into different layers by their hops and chooses different numbers of nodes as relay nodes in different layers. Second, the nodes are set with different initial energies in different layers. Because the packets of different nodes have different sizes, we adopt the corresponding data aggregation coefficients according to the actual data requirements of the network in data transmission. Finally, the lifetime of the network is prolonged by real-time updating of the topology of the tree during the data transmission. The simulations indicate that after the aforementioned three steps, the proposed algorithm prolongs the lifetime of the heterogeneous networks and improves the nodes utilization effectively.

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