scholarly journals Using intellectual means for diagnosis of wireless sensor network

2019 ◽  
pp. 50-52
Author(s):  
Г.Ф. Кривуля ◽  
В.І. Сергіенко
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Large Scale ◽  
Fuzzy Inference ◽  
Wireless Sensor ◽  
Functional Diagnostics ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Fuzzy Network

The paper discusses the adaptive neuro-fuzzy inference system ANFIS for intellectual diagnostics of large-scale wireless sensor networks. The solution for  functional diagnostics of wireless sensor network is realized by the expert system designed  on the knowledge base in the form of a neuron-fuzzy network.

Complex Wireless Sensor Network Routing Strategy for Information Rapid Transmission

2014 ◽  
Vol 1037 ◽  
pp. 201-204
Author(s):  
Zhan Gao ◽  
Qing Bo Zhu ◽  
Chun Mei Wei
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Information Transfer ◽  
Large Scale ◽  
Network Routing ◽  
Wireless Sensor ◽  
Node Degree ◽  
Routing Strategy

For wireless sensor networks for energy requirements are very high and limited node energy characteristics of wireless sensor networks to improve information transfer for the purpose of quick study proposes a wireless sensor network nodes spread weighted routing strategy. The simulation result were weighted node degree technical analysis, analysis of the advantages from the principle of routing policy change, thereby effectively increasing the network lifetime and improve the data transfer rate and reduce the transmission delay, is more suitable for large-scale wireless sensor network.

scholarly journals Increasing Network Lifetime In Cluster Based Wireless Sensor Networks Via Fuzzy Logic

2021 ◽  
Author(s):  
Rouzbeh Behrouz
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Large Scale ◽  
Fuzzy Inference ◽  
Critical Issue ◽  
Base Station ◽  
Wireless Sensor ◽  
Inference System ◽  
Efficient Operation

Energy efficient operation is a critical issue that has to be addressed with large-scale wireless sensor networks deployments. Cluster-based protocols are developed to tackle this problem and Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the best-known protocols of this type. However, certain aspects of LEACH offer room for improvement. One such aspect is the arrangement of wireless sensor network with the fixed base station location. In this thesis we purpose Fuzzy Logic for Mobile Base Station (FLMBS) protocol that is based on LEACH but uses a Fuzzy Inference System driven approach to adjust the location of the base station. FLMBS produces reasonable improvement over LEACH in a network area greater than 1000 x 1000 m

scholarly journals Analyzing Multimode Wireless Sensor Networks Using the Network Calculus

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Xi Jin ◽  
Nan Guan ◽  
Jintao Wang ◽  
Peng Zeng
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Large Scale ◽  
Wireless Sensor ◽  
Network Calculus ◽  
Original Network ◽  
Delay Bound ◽  
Maximum Delay

The network calculus is a powerful tool to analyze the performance of wireless sensor networks. But the original network calculus can only model the single-mode wireless sensor network. In this paper, we combine the original network calculus with the multimode model to analyze the maximum delay bound of the flow of interest in the multimode wireless sensor network. There are two combined methods A-MM and N-MM. The method A-MM models the whole network as a multimode component, and the method N-MM models each node as a multimode component. We prove that the maximum delay bound computed by the method A-MM is tighter than or equal to that computed by the method N-MM. Experiments show that our proposed methods can significantly decrease the analytical delay bound comparing with the separate flow analysis method. For the large-scale wireless sensor network with 32 thousands of sensor nodes, our proposed methods can decrease about 70% of the analytical delay bound.

scholarly journals Increasing Network Lifetime In Cluster Based Wireless Sensor Networks Via Fuzzy Logic

2021 ◽  
Author(s):  
Rouzbeh Behrouz
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Large Scale ◽  
Fuzzy Inference ◽  
Critical Issue ◽  
Base Station ◽  
Wireless Sensor ◽  
Inference System ◽  
Efficient Operation

Energy efficient operation is a critical issue that has to be addressed with large-scale wireless sensor networks deployments. Cluster-based protocols are developed to tackle this problem and Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the best-known protocols of this type. However, certain aspects of LEACH offer room for improvement. One such aspect is the arrangement of wireless sensor network with the fixed base station location. In this thesis we purpose Fuzzy Logic for Mobile Base Station (FLMBS) protocol that is based on LEACH but uses a Fuzzy Inference System driven approach to adjust the location of the base station. FLMBS produces reasonable improvement over LEACH in a network area greater than 1000 x 1000 m

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