QoS routing based on parallel elite clonal quantum evolution for multimedia wireless sensor networks

Jie Zhou, Eryk Dutkiewicz, Ren Ping Liu, Gengfa Fang, Yuanan Liu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

Quality of Service (QoS) routing is one of the key enabling techniques for multimedia wireless sensor networks (WSNs). However, the multi-constraints QoS routing problem is an NP-hard problem, and the computational complexity of an exhaustive search over all the paths is too high for large scale multimedia WSNs. In this paper, a novel parallel elite clonal quantum evolutionary algorithm is proposed to solve the multi-constraints QoS routing problem. The proposed algorithm minimizes the energy consumption, while guaranteeing QoS performance, including delay, bandwidth, delay jitter and packet loss rate, in multimedia WSNs. The algorithm is tested by extensive simulations and its performance is compared with the genetic algorithm and ant colony optimization. Simulation results demonstrate that the proposed algorithm achieves lower energy consumption at a faster convergence rate than the other two evolutionary algorithms.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2498-2503
Number of pages6
ISBN (Electronic)9781479930838
DOIs
Publication statusPublished - 10 Nov 2014
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Other

Other2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
CountryTurkey
CityIstanbul
Period6/04/149/04/14

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