Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 468737 14 pages doi 2010 468737 Research Article Modelling and Implementation of QoS in Wireless Sensor Networks A Multiconstrained Traffic Engineering Model Antoine B. Bagula Intelligent Systems and Advanced Telecommunication ISAT Laboratory Department of Computer Science University of Cape Town Private Bag X3 Rondebosch 7701 South Africa Correspondence should be addressed to Antoine B. Bagula bagula@ Received 16 February 2010 Accepted 12 June 2010 Academic Editor Edith . Ngai Copyright 2010 Antoine B. Bagula. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. This paper revisits the problem of Quality of Service QoS provisioning to assess the relevance of using multipath routing to improve the reliability and packet delivery in wireless sensor networks while maintaining lower power consumption levels. Building upon a previous benchmark we propose a traffic engineering model that relies on delay reliability and energy-constrained paths to achieve faster reliable and energy-efficient transmission of the information routed by a wireless sensor network. As a step forward into the implementation of the proposed QoS model we describe the initial steps of its packet forwarding protocol and highlight the tradeoff between the complexity of the model and the ease of implementation. Using simulation we demonstrate the relative efficiency of our proposed model compared to single path routing disjoint path routing and the previously proposed benchmarks. The results reveal that by achieving a good tradeoff between delay minimization reliability maximization and path set selection our model outperforms the other models in terms of energy consumption and quality of paths used to route the
