Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks
Cai, Xingjuan1; Sun, Youqiang1; Cui, Zhihua1; Zhang, Wensheng2; Chen, Jinjun3
发表期刊KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
ISSN1976-7277
2019-05-31
卷号13期号:5页码:2469-2490
通讯作者Cui, Zhihua(zhihua.cui@hotmail.com)
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).
关键词Low-energy adaptive clustering hierarchy (LEACH) protocol Bat algorithm Curve decline strategy Triangle-flipping strategy
DOI10.3837/tiis.2019.05.013
关键词[WOS]PARTICLE SWARM OPTIMIZATION ; STRATEGY
收录类别SCI
语种英语
资助项目PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002] ; Natural Science Foundation of Shanxi Province[201601D011045] ; National Natural Science Foundation of China[61663028] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61806138] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002] ; Natural Science Foundation of Shanxi Province[201601D011045] ; National Natural Science Foundation of China[61663028] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61806138] ; 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]
项目资助者National Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; PhD Research Startup Foundation of Taiyuan University of Science and Technology
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Telecommunications
WOS记录号WOS:000469945500013
出版者KSII-KOR SOC INTERNET INFORMATION
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/24419
专题多模态人工智能系统全国重点实验室_人工智能与机器学习(杨雪冰)-技术团队
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.
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