Title :
Notice of Violation of IEEE Publication Principles
Research on a Novel Multicast Routing Hybrid Optimization Algorithm and Its Application
Author :
Shi, Dejia ; Jiang, Weijin ; Xu, Danping
Author_Institution :
Sch. of Comput. & Electron. Eng., Hunan Univ. of Commerce, Changsha
Abstract :
Notice of Violation of IEEE Publication Principles
"Research on a Novel Multicast Routing Hybrid Optimization Algorithm and Its Application"
by Dejia Shi, Weijin Jiang, Danping Xu
in the Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2008) December 2008, pp. 339-345
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the papers cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper titles) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following articles:
"Research on QoS Multicast Routing Optimization Algorithm Based on Hybrid Genetic Algorithm"
by Chaoliang Li. and Liang Wei
in the Proceedings of the 2008 4th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM 2008), October 2008
The problem of multicast routing with multiple QoS constraints is NP complete problem. Most of the multimedia applications require strict QoS guarantee during the communication between a single source and multiple destinations. This gives rise to the need for an efficient QoS multicast routing strategy. Determination of such QoS-based optimal multicast routes basically leads to a multi-objective optimization problem, which is computationally intractable in polynomial time due to the uncertainty of resources in high-performance networks. This paper describes a network model for researching the routing problem and we propose a new multicast tree selection algorithm based on genetic algorithms to simultaneously optimize multipl- e QoS parameters. Based on QoS constrains such as delay, delay jitter, bandwidth and packet loss metrics this paper describes a network model suitable for investigating the routing problem and presents a multicast routing algorithm with multiple QoS constraints based on GA and TS hybrid strategy. This algorithm takes advantage of GA and TS and overcomes the shortcomings of GA used in solving the multicast routing problem with multiple QoS constraints-poor climbing ability and immature convergence. The simulation results show that the proposed algorithm is able to find a better solution, fast convergence speed and high reliability. It can meet the real-time requirement in multimedia communication networks. The scalability and the performance of the algorithm with increasing number of network nodes are also quite encouraging.
Keywords :
genetic algorithms; multicast communication; multimedia communication; quality of service; telecommunication network routing; trees (mathematics); NP complete problem; QoS-based optimal multicast routes; genetic algorithm; multicast routing hybrid optimization; multicast tree selection algorithm; multimedia communication network; multiobjective optimization problem; multiple QoS constraint; Bandwidth; Computer networks; Genetic algorithms; Jitter; Multicast algorithms; Multimedia communication; Polynomials; Routing; Telecommunication network reliability; Uncertainty;
Conference_Titel :
Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3492-3
DOI :
10.1109/EUC.2008.191