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An Efficient Energy Routing Protocol Based on Gradient Descent Method in WSNs

Ru Jin*, Xinlian Zhou, Yue Wang

Hunan University of Science and Technology, Xiangtan, 411100, China

* Corresponding Author: Ru Jin. Email: email

Journal of Information Hiding and Privacy Protection 2020, 2(3), 115-123. https://doi.org/10.32604/jihpp.2020.010180

Abstract

In a wireless sensor network [1], the operation of a node depends on the battery power it carries. Because of the environmental reasons, the node cannot replace the battery. In order to improve the life cycle of the network, energy becomes one of the key problems in the design of the wireless sensor network (WSN) routing protocol [2]. This paper proposes a routing protocol ERGD based on the method of gradient descent that can minimizes the consumption of energy. Within the communication radius of the current node, the distance between the current node and the next hop node is assumed that can generate a projected energy at the distance from the current node to the base station (BS), this projected energy and the remaining energy of the next hop node is the key factor in finding the next hop node. The simulation results show that the proposed protocol effectively extends the life cycle of the network and improves the reliability and fault tolerance of the system.

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Cite This Article

APA Style
Jin, R., Zhou, X., Wang, Y. (2020). An efficient energy routing protocol based on gradient descent method in wsns. Journal of Information Hiding and Privacy Protection, 2(3), 115-123. https://doi.org/10.32604/jihpp.2020.010180
Vancouver Style
Jin R, Zhou X, Wang Y. An efficient energy routing protocol based on gradient descent method in wsns. J Inf Hiding Privacy Protection . 2020;2(3):115-123 https://doi.org/10.32604/jihpp.2020.010180
IEEE Style
R. Jin, X. Zhou, and Y. Wang "An Efficient Energy Routing Protocol Based on Gradient Descent Method in WSNs," J. Inf. Hiding Privacy Protection , vol. 2, no. 3, pp. 115-123. 2020. https://doi.org/10.32604/jihpp.2020.010180



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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