A Multiple Constraint Quality of Service Routing Algorithm Base on Dominating Tree

2009 ◽  
Author(s):  
Xueshun Wang ◽  
Shao-hua Yu ◽  
JinYou Dai ◽  
Ting Luo ◽  
Xueshun Wang ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Routing Algorithm ◽  
Quality Of Service Routing ◽  
Multiple Constraint ◽  
Dominating Tree ◽  
Service Routing ◽  
Algorithm Base

scholarly journals Multi-Objective Optimisation in Multi-QoS Routing Strategy for Software-Defined Satellite Network

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6356
Author(s):  
Yang Wu ◽  
Guyu Hu ◽  
Fenglin Jin ◽  
Siqi Tang
Keyword(s):  
Quality Of Service ◽  
Fuzzy Set ◽  
Routing Algorithm ◽  
Satellite Network ◽  
Quality Of Service Routing ◽  
Routing Strategy ◽  
Service Routing ◽  
Interval Type

The satellite network plays an increasingly important role in the global communication. With the development of communication technology, quality of service requirements have become more and more complex and diverse and the quality of service routing strategy of software-defined satellite network has become a more and more hot and difficult issue. In this paper, an interval-type-2 fuzzy set routing algorithm is proposed. Firstly, the multi- quality of service routing problem in software-defined satellite network is modeled. Then, the interval-type-2 fuzzy set routing algorithm is proposed to make fuzzy decisions. A series of experiments conducted in Network Simulator (Version 2.35) have proved that the proposed interval type-2 fuzzy set routing algorithm can reduce average delay, increase total throughput and reduce packet drop rate.

A Novel Quality of Service Routing Algorithm for Wireless Sensor Networks

2011 ◽  
Vol 403-408 ◽  
pp. 2374-2377
Author(s):  
Lin Lin ◽  
Shu Yan ◽  
Yi Nian
Keyword(s):  
Quality Of Service ◽  
Shortest Path ◽  
Path Length ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Base Station ◽  
Wireless Sensor ◽  
Quality Of Service Routing ◽  
Service Routing

A new routing algorithm, RABA, is proposed in this paper. It seeks the shortest path between cluster head and Base Station by Ant Colony Optimization (ACO). The cluster head far away from Base Station transmits message along the shortest path, therefore reducing the transmission path length and lowering the node energy consumption. The simulation compared with LEACH shows that this algorithm can reduce routing length effectively and prolong network lifetime, providing more high quality of service.

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