Energy consumption model of wsn based on manifold learning algorithm

被引：0

作者：

Zhou C. ^{[1
]}

Qu W. ^{[1
]}

Lu Z. ^{[2
]}

Liu Y. ^{[1
]}

机构：

[1] Department of College of Information Engineering, Ningbo Dahongying University, Zhejiang

[2] Department of Information & Media, Zhejiang Fashion Institute of Technology, Zhejiang

来源：

International Journal for Engineering Modelling | 2019年 / 32卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Energy consumption model; Manifold learning; Simulation; Wireless sensor network;

D O I：

10.31534/engmod.2019.2-4.ri.02d

中图分类号：

学科分类号：

摘要：

Energy saving is one of the most important issues in wireless sensor networks. In order to effectively model the energy consumption-in wireless sensor network, a novel model is proposed based on manifold learning algorithm. Firstly, the components of the energy consumption by computational equations are measured, and the objective function is optimized. Secondly, the parameters in computational equations are estimated by manifold learning algorithm. Finally, the simulation experiments on OPNET and MATLAB Simulink are performed to evaluate the key factors influencing the model. The experimental results show that the proposed model had significant advantage in terms of synchronization accuracy and residual energy in comparison with other methods. © 2019, University of Split. All rights reserved.

引用

页码：17 / 31

页数：14

共 28 条

[1] Chouhan S., Bose R., Balakrishnan M., Integrated energy analysis of error correcting codes and modulation for energy efficient wireless sensor nodes, IEEE Transactions on Wireless Communications, 8, 10, pp. 5348-5355, (2009)
[2] Vazifehdan J., Prasad R.V., Niemegeers I., Energy-efficient reliable routing considering residual energy in wireless Ad Hoc networks, IEEE Educational Activities Department, 13, 2, pp. 434-447, (2014)
[3] Dai Z., Li Z., Wang B.M., An energy-aware cluster-based routing protocol for wireless sensor and actor network, Information Technology, 8, 7, pp. 1044-1048, (2009)
[4] Dewitt J., Patt S., Shi H., Maximizing continuous barrier coverage in energy harvesting sensor networks, Proceedings of IEEE International Conference on Communications, pp. 5348-5355, (2014)
[5] Tao D., Wu T.Y., A survey on barrier coverage problem in directional sensor networks, IEEE Sensors Journal, 15, 2, pp. 876-885, (2015)
[6] Ben-Othman J., Yahya B., Energy efficient and QoS based routing protocol for wireless sensor networks, Journal of Parallel and Distributed Computing, 70, 8, pp. 849-857, (2010)
[7] Ke F., Feng S., Zhuang H., Relay selection and power allocation for cooperative network based on energy pricing, IEEE Communications Letters, 14, 5, pp. 396-398, (2010)
[8] Zhang H., Cheng P., Shi L., Chen J., Optimal denial-of-service attack scheduling with energy constraint, IEEE Transactions on Automatic Control, 60, 11, pp. 3023-3028, (2015)
[9] Luo X., Dong M., Huang Y., On Distributed fault tolerant detection in wireless sensor networks, IEEE Transactions on Computers, 55, 1, pp. 58-70, (2006)
[10] Younis O., Fahmy S., HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks, IEEE Transactions on Mobile Computing, 3, 4, pp. 366-379, (2004)

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