Geographic routing by using location algorithm based in signal measurements

2014 ◽  
Author(s):  
Luiz Carlos Branquinho Ferreira ◽  
Paulo Cardieri ◽  
Omar Carvalho Branquinho ◽  
Thiago Tortorelli de Faria
Keyword(s):  
Geographic Routing ◽  
Location Algorithm

Robustness of fault location algorithm in distribution feeders

2006 ◽  
Author(s):  
Duck-Su Lee ◽  
Il-Hyung Lim ◽  
Seung-Jae Lee ◽  
Myeon-Song Choi ◽  
Seong-Il Lim
Keyword(s):  
Fault Location ◽  
Location Algorithm

scholarly journals Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 196 ◽  
Author(s):  
Xing Hu ◽  
Linhua Ma ◽  
Yongqiang Ding ◽  
Jin Xu ◽  
Yan Li ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Geographic Routing ◽  
Wireless Sensor ◽  
Location Information ◽  
Destination Node ◽  
Routing Overhead ◽  
Geographic Routing Protocol

The geographic routing protocol only requires the location information of local nodes for routing decisions, and is considered very efficient in multi-hop wireless sensor networks. However, in dynamic wireless sensor networks, it increases the routing overhead while obtaining the location information of destination nodes by using a location server algorithm. In addition, the routing void problem and location inaccuracy problem also occur in geographic routing. To solve these problems, a novel fuzzy logic-based geographic routing protocol (FLGR) is proposed. The selection criteria and parameters for the assessment of the next forwarding node are also proposed. In FLGR protocol, the next forward node can be selected based on the fuzzy location region of the destination node. Finally, the feasibility of the FLGR forwarding mode is verified and the performance of FLGR protocol is analyzed via simulation. Simulation results show that the proposed FLGR forwarding mode can effectively avoid the routing void problem. Compared with existing protocols, the FLGR protocol has lower routing overhead, and a higher packet delivery rate in a sparse network.

An automatic welding defect location algorithm based on deep learning

2021 ◽  
Vol 120 ◽  
pp. 102435
Author(s):  
Lei Yang ◽  
Huaixin Wang ◽  
Benyan Huo ◽  
Fangyuan Li ◽  
Yanhong Liu
Keyword(s):  
Deep Learning ◽  
Automatic Welding ◽  
Defect Location ◽  
Location Algorithm ◽  
Welding Defect
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