A Stepwise Path Selection Scheme Based on Multiple QoS Parameters Evaluation in SDN

Author(s):  
Lin Liu ◽  
Jian-Tao Zhou ◽  
Hai-Feng Xing ◽  
Xiao-Yong Guo
2002 ◽  
Vol 40 (11) ◽  
pp. 52-59 ◽  
Author(s):  
S. Okamoto ◽  
E. Oki ◽  
K. Shimano ◽  
A. Sahara ◽  
N. Yamanaka

2013 ◽  
Vol 756-759 ◽  
pp. 1850-1854
Author(s):  
Yuan Chen Li ◽  
Guo Fang Kuang

Quality of service (QoS) generally assumes more than one QoS measure which implies that routing can be categorized as an instance of routing subject to multiple constraints: such as cost, delay, bandwidth, etc. The problem of constructing multicast trees is studied to meet the QoS requirements where it is necessary to provide bounded constraints among the source and all destinations while keeping the cost of the multicast tree low. So, a kind of source-destination QoS multicast routing problem is addressed about communication networks. The algorithm we presented takes bandwidth, delay and loss rate as premise, constructs routing selected function based on shortest path, modifies selected path according to the function above so as to fit multi-QoS parameters. Simulation results show that the algorithm has both lower delay and better performance and can be extended to cases of multiple QoS parameters conveniently.


2017 ◽  
Vol 97 (2) ◽  
pp. 2087-2096 ◽  
Author(s):  
Sachin D. Ubarhande ◽  
Dharmpal D. Doye ◽  
Prakash S. Nalwade

2013 ◽  
Vol 303-306 ◽  
pp. 210-214 ◽  
Author(s):  
Zi Long Jin ◽  
Beom Seok Kim ◽  
Dong Hai Guan ◽  
Jin Sung Cho

The cognitive radio technology has been adopted as a promised solution to deal with overcrowded problem in ISM band. In wireless sensor networks, the cognitive radio technology enables sensor nodes to occupy licensed band in opportunistic manner and introduces advantages of improving spectrum utilization and increasing system throughput. By considering the opportunistic spectrum access nature, in this paper, we aim to provide a stable path selection scheme for cognitive radio sensor networks. The proposed routing protocol utilizes priori delivery information and derives a novel routing metric for the optimal path selection. The routing metric is derived from naïve Bayes inference and used to indicate the path stability by means of delivery probability. We show through extensive simulations that the proposed routing protocol is efficient to find the most probable delivery path and increase the system throughput.


Author(s):  
Yu Yao ◽  
Yongjun Zhang ◽  
Chuanhao Lu ◽  
Zhihui Zhang ◽  
Bin Li ◽  
...  

Sensor Review ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 218-232 ◽  
Author(s):  
Rama Rao A. ◽  
Satyananda Reddy ◽  
Valli Kumari V.

Purpose Multimedia applications such as digital audio and video have stringent quality of service (QoS) requirement in mobile ad hoc network. To support wide range of QoS, complex routing protocols with multiple QoS constraints are necessary. In QoS routing, the basic problem is to find a path that satisfies multiple QoS constraints. Moreover, mobility, congestion and packet loss in dynamic topology of network also leads to QoS performance degradation of protocol. Design/methodology/approach In this paper, the authors proposed a multi-path selection scheme for QoS aware routing in mobile ad hoc network based on fractional cuckoo search algorithm (FCS-MQARP). Here, multiple QoS constraints energy, link life time, distance and delay are considered for path selection. Findings The experimentation of proposed FCS-MQARP is performed over existing QoS aware routing protocols AOMDV, MMQARP, CS-MQARP using measures such as normalized delay, energy and throughput. The extensive simulation study of the proposed FCS-based multipath selection shows that the proposed QoS aware routing protocol performs better than the existing routing protocol with maximal energy of 99.1501 and minimal delay of 0.0554. Originality/value This paper presents a hybrid optimization algorithm called the FCS algorithm for the multi-path selection. Also, a new fitness function is developed by considering the QoS constraints such as energy, link life time, distance and delay.


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