Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks

doi:10.3837/tiis.2019.05.013

	Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks
	Cai, Xingjuan 1; Sun, Youqiang 1; Cui, Zhihua 1; Zhang, Wensheng2 ; Chen, Jinjun 3
刊名	KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
	2019-05-31
卷号	13 期号:5 页码:2469-2490
关键词	Low-energy adaptive clustering hierarchy (LEACH) protocol Bat algorithm Curve decline strategy Triangle-flipping strategy
ISSN号	1976-7277
DOI	10.3837/tiis.2019.05.013
通讯作者	Cui, Zhihua(zhihua.cui@hotmail.com)
英文摘要	A low-energy adaptive clustering hierarchy (LEACH) protocol is a low-power adaptive cluster routing protocol which was proposed by MIT's Chandrakasan for sensor networks. In the LEACH protocol, the selection mode of cluster-head nodes is a random selection of cycles, which may result in uneven distribution of nodal energy and reduce the lifetime of the entire network. Hence, we propose a new selection method to enhance the lifetime of network, in this selection function, the energy consumed between nodes in the clusters and the power consumed by the transfer between the cluster head and the base station are considered at the same time. Meanwhile, the improved FTBA algorithm integrating the curve strategy is proposed to enhance local and global search capabilities. Then we combine the improved BA with LEACH, and use the intelligent algorithm to select the cluster head. Experiment results show that the improved BA has stronger optimization ability than other optimization algorithms, which the method we proposed (FTBA-TC-LEACH) is superior than the LEACH and LEACH with standard BA (SBA-LEACH). The FTBA-TC-LEACH can obviously reduce network energy consumption and enhance the lifetime of wireless sensor networks (WSNs).
资助项目	National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61663028] ; Natural Science Foundation of Shanxi Province[201601D011045] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002]
WOS关键词	PARTICLE SWARM OPTIMIZATION ; STRATEGY
WOS研究方向	Computer Science ; Telecommunications
语种	英语
出版者	KSII-KOR SOC INTERNET INFORMATION
WOS记录号	WOS:000469945500013
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; PhD Research Startup Foundation of Taiyuan University of Science and Technology
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/24418]
专题	中国科学院自动化研究所
通讯作者	Cui, Zhihua
作者单位	1.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China 3.Univ Technol Sydney, Sydney, NSW 2007, Australia
推荐引用方式 GB/T 7714	Cai, Xingjuan,Sun, Youqiang,Cui, Zhihua,et al. Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks[J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS,2019,13(5):2469-2490.
APA	Cai, Xingjuan,Sun, Youqiang,Cui, Zhihua,Zhang, Wensheng,&Chen, Jinjun.(2019).Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks.KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS,13(5),2469-2490.
MLA	Cai, Xingjuan,et al."Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks".KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 13.5(2019):2469-2490.