An optimization‐based congestion control for constrained application protocol

2021 ◽  
Author(s):  
Godfrey A. Akpakwu ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu‐Mahfouz
Keyword(s):  
Congestion Control ◽  
Constrained Application Protocol

scholarly journals Corrigendum

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876668
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Congestion Control ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Internet Of Things Environment ◽  
Constrained Application Protocol

Jung June Lee, Kyung Tae Kim, Hee Yong Youn, Enhancement of congestion control of Constrained Application Protocol/Congestion Control/Advanced for Internet of Things environment, International Journal of Distributed Sensor Networks; vol. 12, 11. First Published November 7, 2016. DOI: 10.1177/1550147716676274.

An Efficient Congestion Control Scheme for Data Using Tokens in Network

2012 ◽  
Vol 2 (11) ◽  
pp. 104-106
Author(s):  
C.Md.Jamsheed C.Md.Jamsheed ◽  
◽  
D.Surendra D.Surendra ◽  
D.Venkatesh D.Venkatesh
Keyword(s):  
Congestion Control ◽  
Control Scheme

Routing Optimization with Efficient Second Order Distributed Approach Using Congestion Control Rules

2017 ◽  
Vol 7 (7) ◽  
pp. 363
Author(s):  
Jaya Pratha Sebastiyar ◽  
Martin Sahayaraj Joseph
Keyword(s):  
Congestion Control ◽  
Second Order ◽  
Back Pressure ◽  
Order Method ◽  
Delay Performance ◽  
Routing Optimization ◽  
Distributed Approach ◽  
Control Rules ◽  
Primal Dual ◽  
Queue Stability

Distributed joint congestion control and routing optimization has received a significant amount of attention recently. To date, however, most of the existing schemes follow a key idea called the back-pressure algorithm. Despite having many salient features, the first-order sub gradient nature of the back-pressure based schemes results in slow convergence and poor delay performance. To overcome these limitations, the present study was made as first attempt at developing a second-order joint congestion control and routing optimization framework that offers utility-optimality, queue-stability, fast convergence, and low delay.  Contributions in this project are three-fold. The present study propose a new second-order joint congestion control and routing framework based on a primal-dual interior-point approach and established utility-optimality and queue-stability of the proposed second-order method. The results of present study showed that how to implement the proposed second-order method in a distributed fashion.

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