scholarly journals Named Data Networking Based Disaster Response Support System over Edge Computing Infrastructure

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 335
Author(s):  
Minh-Ngoc Tran ◽  
Younghan Kim

After a disaster happens, effective communication and information sharing between emergency response team members play a crucial role in a successful disaster response phase. With dedicated roles and missions are assigned to responders, role-based communication is a pivotal feature that an emergency communication network needs to support. Previous works have shown that Named Data Networking (NDN) has many advantages over traditional IP-based networks in providing this feature. However, these studies are only simulation-based. To apply NDN in disaster scenarios, real implementation of a deployment architecture over existing infrastructure during the disaster should be considered. Not only should it ensure efficient emergency communication, but the architecture should deal with other disaster-related challenges such as responder mobility, intermittent network, and replacement possibility due to disaster damage. In this paper, we designed and implemented an NDN-based disaster response support system over Edge Computing infrastructure with KubeEdge as the chosen edge platform to solve the above issues. Our proof-of-concept system performance shows that the architecture achieved efficient role-based communication support, fast mobility handover duration, quick network convergence time in case of node replacement, and loss-free information exchange between responders and the management center on the cloud.

Author(s):  
Abderrahmen Mtibaa ◽  
Reza Tourani ◽  
Satyajayant Misra ◽  
Jeff Burke ◽  
Lixia Zhang

2021 ◽  
Author(s):  
Daishi Kondo ◽  
Thomas Ansquer ◽  
Yosuke Tanigawa ◽  
Hideki Tode

2013 ◽  
Author(s):  
Charles Duan ◽  
Cynthia Grady ◽  
Paul Ohm ◽  
James Grimmelmann

Robotica ◽  
2021 ◽  
pp. 1-17
Author(s):  
Seyed Mostafa Almodarresi ◽  
Marzieh Kamali ◽  
Farid Sheikholeslam

Abstract In this paper, new distributed adaptive methods are proposed for solving both leaderless and leader–follower consensus problems in networks of uncertain robot manipulators, by estimating only the gravitational torque forces. Comparing with the existing adaptive methods, which require the estimation of the whole dynamics, presented methods reduce the excitation levels required for efficient parameter search, the convergence time, and the complexity of the regressor. Additionally, proposed schemes eliminate the need for velocity information exchange between the agents. Global asymptotic synchronization is shown by introducing new Lyapunov functions. Simulation results are provided for a network of 10 4-DOF robot manipulators.


Author(s):  
Rui Hou ◽  
Shuo Zhou ◽  
Mengtian Cui ◽  
Lingyun Zhou ◽  
Deze Zeng ◽  
...  

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