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Fuzzy based Data Fusion for Energy Efficient Internet of Things

Fuzzy based Data Fusion for Energy Efficient Internet of Things

Madan Mohan Agarwal, Mahesh Chandra Govil, Madhavi Sinha, Saurabh Gupta
Copyright: © 2019 |Volume: 11 |Issue: 3 |Pages: 13
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781522564928|DOI: 10.4018/IJGHPC.2019070103
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MLA

Agarwal, Madan Mohan, et al. "Fuzzy based Data Fusion for Energy Efficient Internet of Things." IJGHPC vol.11, no.3 2019: pp.46-58. http://doi.org/10.4018/IJGHPC.2019070103

APA

Agarwal, M. M., Govil, M. C., Sinha, M., & Gupta, S. (2019). Fuzzy based Data Fusion for Energy Efficient Internet of Things. International Journal of Grid and High Performance Computing (IJGHPC), 11(3), 46-58. http://doi.org/10.4018/IJGHPC.2019070103

Chicago

Agarwal, Madan Mohan, et al. "Fuzzy based Data Fusion for Energy Efficient Internet of Things," International Journal of Grid and High Performance Computing (IJGHPC) 11, no.3: 46-58. http://doi.org/10.4018/IJGHPC.2019070103

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Abstract

Internet of Things will serve communities across the different domains of life. The resource of embedded devices and objects working under IoT implementation are constrained in wireless networks. Thus, building a scheme to make full use of energy is key issue for such networks. To achieve energy efficiency, an effective Fuzzy-based network data Fusion Light Weight Protocol (FLWP) is proposed in this article. The innovations of FLWP are as follows: 1) the simulated network's data fusion through fuzzy controller and optimize the energy efficiency of smart tech layer of internet of things (Energy IoT); 2) The optimized reactive route is dynamically adjusted based on fuzzy based prediction accurately from the number of routes provided by base protocol. If the selection accuracy is high, the performance enhances the network quality; 3) FLWP takes full advantage of energy to further enhance target tracking performance by properly selecting reactive routes in the network. Authors evaluated the efficiency of FLWP with simulation-based experiments. FLWP scheme improves the energy efficiency.

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