Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor networks
Zhang, Hong1; Li, Zhanming1; Shu, Wanneng2; Chou, Jarong3
2019-06-10
发表期刊EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
ISSN1687-1472
摘要Industrial wireless sensor network (IWSN) has changed the information transmission way for existing industrial control system. In mobile sink-based industrial wireless sensor networks, the energy consumption optimization for data collection has always been a hot research issue. To meet the delay requirements and minimize energy consumption, a data collection strategy based on ant colony optimization with mobile sink is proposed for industrial wireless sensor networks. Firstly, in order to reduce the number of nodes directly accessed by sink and shorten the traversed path, the selection of rendezvous nodes based on entropy weight method is introduced according to the density of nodes, relative residual energy, and the degree of uniformity of distribution. Then, secondly, an ant colony optimization algorithm is proposed to obtain the optimal access path for mobile sink, which can achieve a trade-off between the energy consumption of the network and transmission delay. The simulation results show that, compared with the existing algorithms, the proposed algorithm can minimize the delay and prolong the lifetime of the network.
关键词Industrial wireless sensor networks Delivery latency Energy efficiency Mobile sink
DOI10.1186/s13638-019-1472-7
收录类别SCI ; SCIE
语种英语
资助项目National Natural Science Foundation of China[61603420]
WOS研究方向Engineering ; Telecommunications
WOS类目Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000472047900001
出版者SPRINGEROPEN
引用统计
被引频次:23[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/31808
专题电气工程与信息工程学院
通讯作者Zhang, Hong
作者单位1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China;
2.South Cent Univ Nationalities, Coll Comp Sci, Wuhan 430074, Hubei, Peoples R China;
3.Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA
第一作者单位电气工程与信息工程学院
通讯作者单位电气工程与信息工程学院
第一作者的第一单位电气工程与信息工程学院
推荐引用方式
GB/T 7714
Zhang, Hong,Li, Zhanming,Shu, Wanneng,et al. Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor networks[J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING,2019.
APA Zhang, Hong,Li, Zhanming,Shu, Wanneng,&Chou, Jarong.(2019).Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor networks.EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING.
MLA Zhang, Hong,et al."Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor networks".EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2019).
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