scholarly journals Service Selection Algorithms for Composing Complex Services with Multiple QoS Constraints

Author(s):  
Tao Yu ◽  
Kwei-Jay Lin
ETRI Journal ◽  
2005 ◽  
Vol 27 (6) ◽  
pp. 733-746 ◽  
Author(s):  
Daniel W. Hong ◽  
Choong Seon Hong ◽  
Gil-Haeng Lee

2013 ◽  
Vol 347-350 ◽  
pp. 553-558
Author(s):  
Ze Shun Zhou ◽  
Yi Xu ◽  
Jun Jie Yan ◽  
Zhong Wei Nie ◽  
La Yuan Li

Routing problem is one of the most important issues to a wireless sensor network (WSN). It is the key problem to find an efficient energy strategy for prolonging network's lifetime because power supply might be impossible. This paper discusses the multicast routing problem of WSN with multiple QoS constraints, which may deal with the delay, bandwidth, hop count and packet reception rat and surplus energy metrics, and finds a minimum resource consumption path while satisfying multiple constraints optimization conditions, and describes a network model for researching the multicast routing problem. It presents a dynamic multicast routing algorithm with multiple QoS constraints (MCQoSRA). The MCQoSRA successfully solves the QoS routing problems when multicast nodes change dynamically in the networks. The MCQoSRA only requires the local state information of the link (or node), but does not require any global network sate to be maintained. In MCQoSRA, a multicast group member can join or leave the multicast session dynamically. The MCQoSRA can effectively decrease the overhead for constructing a multicast tree and the delay of the nodes, and improve the success ratio of seeking links. Simulation results show that the MCQoSRA provides an available means to implement multicast routing, and adapt to all kinds of the topology networks, and have better expansibility.


2014 ◽  
Vol 513-517 ◽  
pp. 994-998 ◽  
Author(s):  
Yue Gong ◽  
Jia Nan Wang

This paper mainly discusses the Multiple Constrained Qos Routing Algorithm, in the analysis of the basic on the basis of mathematical model of Qos routing. It has proposed a routing model with an objective function, integrated optimization of multiple Qos constraints. Finally, the optimization of ant colony algorithm applied to solve the problem of multiple constraints Qos. Through simulation experiments proved that the algorithm to find the path to maximum degree meets Qos requirements.


2005 ◽  
Author(s):  
Yu Hua ◽  
Chanle Wu ◽  
Yong Wang ◽  
Zhi Zhou ◽  
Jun Du

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