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Front Neurorobot

Title:		LEACH Protocol Optimization Based on Weighting Strategy and the Improved Ant Colony Algorithm
Author(s):		Cheng X; Xu C; Liu X; Li J; Zhang J;
Address:		"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China. Shandong Senter Electronic Co, Zibo, China. College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, China"
Journal Title:		Front Neurorobot
Year:		2022
Volume:		20220318
Issue:
Page Number:		840332 -
DOI:		10.3389/fnbot.2022.840332
ISSN/ISBN:		1662-5218 (Print) 1662-5218 (Electronic) 1662-5218 (Linking)
Abstract:		"This article aims to address problems in the current clustering process of low-energy adaptive clustering hierarchy (LEACH) in the wireless sensor networks, such as strong randomness and local optimum in the path optimization. This article proposes an optimal combined weighting (OCW) and improved ant colony optimization (IACO) algorithm for the LEACH protocol optimization. First, cluster head nodes are updated via a dynamic replacement mechanism of the whole network cluster head nodes to reduce the network energy consumption. In order to improve the quality of the selected cluster head nodes, this article proposes the OCW method to dynamically change the weight according to the importance of the cluster head node in different regions, in accordance with the three impact factors of the node residual energy, density, and distance between the node and the sink node in different regions. Second, the network is partitioned and the transmission path among the clusters can be optimized by the transfer probability in IACO with combined local and global pheromone update mechanism. The efficacy of the proposed LEACH protocol optimization method has been verified with MATLAB simulation experiments"
Keywords:		LEACH optimization improved ant colony optimization optimal combination weighting path superiority routing protocol;
Notes:		"PubMed-not-MEDLINECheng, Xuezhen Xu, Chuannuo Liu, Xiaoqing Li, Jiming Zhang, Junming eng Switzerland 2022/04/05 Front Neurorobot. 2022 Mar 18; 16:840332. doi: 10.3389/fnbot.2022.840332. eCollection 2022"