Communication protocols for distributed wireless sensor network based on viterbi algorithm

被引：0
作者：
Yu B. [1 ,2 ]
机构：
[1] College of Computer Science and Technology, Jilin University, Changchun
[2] College of Information Technology and Media, Beihua University, Jilin
来源：
International Journal of Performability Engineering | 2018年 / 14卷 / 11期
关键词：
Communication protocol; Viterbi algorithm; Wireless sensor;
D O I：
10.23940/ijpe.18.11.p1.25532560
中图分类号：
学科分类号：
摘要：
Routing is one of the most important technologies in wireless sensor networks. The energy efficiency of the sensor network is realized by combining other technologies with routing protocols in this paper. First, through the analysis of the energy model of the clustering routing algorithm, the local signal to noise ratio (SNR) is used to purposefully select the nodes in the cluster to transmit data. In order to avoid the energy consumption of a large number of nodes to transmit data, a simple architecture is proposed to combine the distributed source code with the cluster routing protocol. The method uses the data on the cluster head as the edge information to decode the compressed information transmitted from the cluster nodes. The simulation result shows that the energy efficiency of the network can be achieved through this combination. © 2018 Totem Publisher, Inc. All rights reserved.
引用
收藏
页码：2553 / 2560
页数：7
相关论文
共 20 条
  • [1] Romer K., Blum P., Meier L., Time synchronization and calibration in wireless sensor networks, Desalination, 262, 1-3, pp. 21-30, (2005)
  • [2] Vajdi S.V., Hilal A.R., Basir O.A., Abeer S.A., Multi-hop interference-aware routing protocol for wireless sensor networks, Procedia Computer Science, 10, pp. 933-938, (2012)
  • [3] Sarkis J., Bai C., Jabbour C.J.C., Sobreiro V.A., Connecting the pieces of the puzzle toward sustainable organizations: A framework integrating OM principles with GSCM, Benchmarking: An International Journal, 23, 6, pp. 1605-1623, (2016)
  • [4] Rani A.A., A new energy efficient communication protocol (NEEP) for wireless sensor networks, International Journal of Applied Engineering Research, 10, 14, pp. 34618-34624, (2015)
  • [5] Sharma V., Jain P., Various hierarchical routing protocols in wireless sensor network: A survey, International Journal of Computer Science and Mobile Computing, 2, 5, pp. 67-72, (2013)
  • [6] Zheng Z.G., Sangaiah A.K., Mishra K.K., Saxena N., Guided dynamic particle swarm optimization for optimizing digital image watermarking in industrial applications, Future Generation Computer Systems, 88, pp. 92-106, (2018)
  • [7] Ngo-Quynh T., Tran-Quang V., Quan N.T., A low-latency communication protocol for target tracking in wireless sensor networks, Eurasip Journal on Wireless Communications & Networking, 67, 1, pp. 1-15, (2016)
  • [8] Kansal P., Kansal D., Balodi A., Compression of various routing protocol in wireless sensor network, International Journal of Computer Applications, 5, 11, pp. 275-283, (2010)
  • [9] Yang E., Erdogan A.T., Arslan T., Barton N.H., Adaptive formation control and bio-inspired optimization of a cluster-based satellite wireless sensor network, Proceedings of NASA/ESA Conference on Adaptive Hardware & Systems, pp. 432-439, (2008)
  • [10] Zheng J., Chellappa R., Jiang Z., Cross-view action recognition via transferable dictionary learning, IEEE Transactions on Image Processing A Publication of The IEEE Signal Processing Society, 25, 5, (2016)
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