Poster Abstract: DeGas - Toxic Gas Boundary Area Detection in Industrial Wireless Sensor Networks

2016 ◽  
Author(s):  
Lei Shu ◽  
Mithun Mukherjee ◽  
Yuanfang Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Industrial Wireless Sensor Networks ◽  
Boundary Area ◽  
Poster Abstract ◽  
Toxic Gas

Sleep Scheduling in Industrial Wireless Sensor Networks for Toxic Gas Monitoring

2017 ◽  
Vol 24 (4) ◽  
pp. 106-112 ◽  
Author(s):  
Mithun Mukherjee ◽  
Lei Shu ◽  
Likun Hu ◽  
Gerhard P. Hancke ◽  
Chunsheng Zhu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Sleep Scheduling ◽  
Gas Monitoring ◽  
Industrial Wireless Sensor Networks ◽  
Toxic Gas

scholarly journals TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3904
Author(s):  
Jose Vera-Pérez ◽  
Javier Silvestre-Blanes ◽  
Víctor Sempere-Payá
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Industry 4.0 ◽  
Wireless Sensor ◽  
Lossy Networks ◽  
Industrial Wireless Sensor Networks ◽  
Time Model ◽  
Industrial Internet ◽  
Channel Hopping ◽  
Definition Of

Wireless sensor networks (WSNs) play a key role in the ecosystem of the Industrial Internet of Things (IIoT) and the definition of today’s Industry 4.0. These WSNs have the ability to sensor large amounts of data, thanks to their easy scalability. WSNs allow the deployment of a large number of self-configuring nodes and the ability to automatically reorganize in case of any change in the topology. This huge sensorization capacity, together with its interoperability with IP-based networks, allows the systems of Industry 4.0 to be equipped with a powerful tool with which to digitalize a huge amount of variables in the different industrial processes. The IEEE 802.15.4e standard, together with the access mechanism to the Time Slotted Channel Hopping medium (TSCH) and the dynamic Routing Protocol for Low-Power and Lossy Networks (RPL), allow deployment of networks with the high levels of robustness and reliability necessary in industrial scenarios. However, these configurations have some disadvantages in the deployment and synchronization phases of the networks, since the time it takes to synchronize the nodes is penalized compared to other solutions in which access to the medium is done randomly and without channel hopping. This article proposes an analytical model to characterize the behavior of this type of network, based on TSCH and RPL during the phases of deployment along with synchronization and connection to the RPL network. Through this model, validated by simulation and real tests, it is possible to parameterize different configurations of a WSN network based on TSCH and RPL.

POSIMNET-R: An immunologic resilient approach to position routers in Industrial Wireless Sensor Networks

2021 ◽  
pp. 116045
Author(s):  
Carlos Augusto Ribeiro Soares ◽  
Rodrigo de Souza Couto ◽  
Alexandre Sztajnberg ◽  
Jorge Luís Machado do Amaral
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Industrial Wireless Sensor Networks
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