scholarly journals Research on Dynamic Routing Mechanisms in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
A. Q. Zhao ◽  
Y. N. Weng ◽  
Y. Lu ◽  
C. Y. Liu

WirelessHART is the most widely applied standard in wireless sensor networks nowadays. However, it does not provide any dynamic routing mechanism, which is important for the reliability and robustness of the wireless network applications. In this paper, a collection tree protocol based, dynamic routing mechanism was proposed for WirelessHART network. The dynamic routing mechanism was evaluated through several simulation experiments in three aspects: time for generating the topology, link quality, and stability of network. Besides, the data transmission efficiency of this routing mechanism was analyzed. The simulation and evaluation results show that this mechanism can act as a dynamic routing mechanism for the TDMA-based wireless sensor network.

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6430
Author(s):  
Ngoc Huy Nguyen ◽  
Myung Kyun Kim

Although mature industrial wireless sensor network applications increasingly require low-power operations, deterministic communications, and end-to-end reliability, it is very difficult to achieve these goals because of link burstiness and interference. In this paper, we propose a novel link quality estimation mechanism named the burstiness distribution metric, which uses the distribution of burstiness in the links to deal with variations in wireless link quality. First, we estimated the quality of the link at the receiver node by counting the number of consecutive packets lost in each link. Based on that, we created a burstiness distribution list and estimated the number of transmissions. Our simulation in the Cooja simulator from Contiki-NG showed that our proposal can be used in scheduling as an input metric to calculate the number of transmissions in order to achieve a reliability target in industrial wireless sensor networks.


2013 ◽  
Vol 24 (5) ◽  
pp. 881-892 ◽  
Author(s):  
Fengyuan Ren ◽  
Jiao Zhang ◽  
Yongwei Wu ◽  
Tao He ◽  
Canfeng Chen ◽  
...  

2015 ◽  
Vol 8 (S2) ◽  
pp. 17 ◽  
Author(s):  
G. N. S. Abhishek Varma ◽  
G. Aswani Kumar Reddy ◽  
Y. Ravi Theja ◽  
T. Arunkumar

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3621 ◽  
Author(s):  
Peio Lopez-Iturri ◽  
Mikel Celaya-Echarri ◽  
Leyre Azpilicueta ◽  
Erik Aguirre ◽  
José Astrain ◽  
...  

In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications.


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