scholarly journals Microgrid Optimal State Estimation Over IoT Wireless Sensor Networks With Event-Based Measurements

2019 ◽  
Author(s):  
Seyed Amir Alavi ◽  
Mehrnaz Javadipour ◽  
Kamyar Mehran
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
State Estimation ◽  
Wireless Sensor ◽  
Optimal State ◽  
Optimal State Estimation ◽  
Event Based

scholarly journals Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks

2015 ◽  
Vol 60 (9) ◽  
pp. 2470-2475 ◽  
Author(s):  
Qinyuan Liu ◽  
Zidong Wang ◽  
Xiao He ◽  
D. H. Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Event Based

A reactive role assignment for data routing in event-based wireless sensor networks

2009 ◽  
Vol 53 (12) ◽  
pp. 1980-1996 ◽  
Author(s):  
Eduardo F. Nakamura ◽  
Heitor S. Ramos ◽  
Leandro A. Villas ◽  
Horacio A.B.F. de Oliveira ◽  
Andre L.L. de Aquino ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Role Assignment ◽  
Data Routing ◽  
Event Based

Event Based Data Gathering in Wireless Sensor Networks

2012 ◽  
pp. 445-462 ◽  
Author(s):  
Asfandyar Khan ◽  
Azween Abdullah ◽  
Nurul Hasan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Savings ◽  
Detection System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Detection Model ◽  
Physical Environments ◽  
Event Based

Wireless sensor networks (WSANs) are increasingly being used and deployed to monitor the surrounding physical environments and detect events of interest. In wireless sensor networks, energy is one of the primary issues and requires the conservation of energy of the sensor nodes, so that network lifetime can be maximized. It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user. The purpose of this “Event Based Detection” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring, and it is also used in security concerned issues. The model is designed to detect events (when occurring) of significant changes and save the data for further processing and transmission. In this way, the amount of transmitted data is reduced, and the network lifetime is increased. The main goal of this model is to meet the needs of critical condition monitoring applications and increase the network lifetime by saving more energy. This is useful where the size of the network increases. Matlab software is used for simulation.

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