A novel multicast routing method with minimum transmission for WSN of cloud computing service

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• 作者：De-gan Zhang ; Ke Zheng ; Ting Zhang ; Xiang Wang
• 关键词：Cloud computing service ; WSN ; Multicast routing ; DMTMRA ; Energy ; Minimum
• 刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：19
• 期：7
• 页码：1817-1827
• 全文大小：831 KB
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• 作者单位：De-gan Zhang (1) (2)
  Ke Zheng (1) (2)
  Ting Zhang (3)
  Xiang Wang (1) (2)
  
  1. Tianjin Key Lab of Intelligent Computing and Novel Software Technology, Tianjin University of Technology, Tianjin聽, 300384, China
  2. Key Laboratory of Computer Vision and System, Tianjin University of Technology, Ministry of Education, Tianjin聽, 300384, China
  3. Department of Computer Science and Technology, Tangshan College, Tangshan聽, 063200, China
  
• 刊物类别：Engineering
• 刊物主题：Numerical and Computational Methods in Engineering
  Theory of Computation
  Computing Methodologies
  Mathematical Logic and Foundations
  Control Engineering
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1433-7479

文摘

As we know, multicast communication of industrial application is an effective way to save energy, bandwidth, cost and other resources in wireless sensor networks (WSN); a novel multicast routing method with minimum transmission for WSN of Industrial application is presented in this paper. We analyze the causes of uncertain information in WSN of Industrial application due to random load, information fusion or other impact factors. In terms of these random cases, we establish a transmission model of industrial application and present a new heuristic distributed minimum transmission multicast routing algorithm for WSN. Using the offset back-off scheme and taking advantage of the broadcast characteristic of wireless communication, our algorithm chooses the forwarding routes which can connect more multicast receivers. We conduct extensive evaluations to study the performance of the proposed algorithm and compare it with the existing methods. Simulation results demonstrate that our method effectively improves the efficiency of multicast routing; the advantage and novelty of the approach suggested is in saving energy by minimizing bandwidth, delay and the number of transmissions.