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A Nature-Inspired Node Deployment Strategy for Connected Confident Information Coverage in Industrial Internet of Things

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成果类型:
期刊论文
作者:
Dai, Lu;Wang, Bang;Yang, Laurence T.;Deng, Xianjun*;Yi, Lingzhi
通讯作者:
Deng, Xianjun
作者机构:
[Dai, Lu; Wang, Bang] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Hubei, Peoples R China.
[Yang, Laurence T.] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G2W5, Canada.
[Deng, Xianjun] Univ South China, Sch Elect Engn, Hunan Prov Key Lab Ultra Fast Micro Nano Technol, Hengyang 421001, Peoples R China.
[Yi, Lingzhi] Univ South China, Sch Civil Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Deng, Xianjun] U
Univ South China, Sch Elect Engn, Hunan Prov Key Lab Ultra Fast Micro Nano Technol, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
Confident information coverage (CIC);genetic algorithms (GEAs);Industrial Internet of Things (IIoT);Internet of Things (IoT) node deployment;network lifetime
期刊:
IEEE INTERNET OF THINGS JOURNAL
ISSN:
2327-4662
年:
2019
卷:
6
期:
6
页码:
9217-9225
基金类别:
Manuscript received December 26, 2018; accepted January 17, 2019. Date of publication January 31, 2019; date of current version December 11, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61771209 and Grant 61871209, in part by the Natural Science Foundation of Hunan Province under Grant 2017JJ3275 and Grant 2018JJ2333, in part by NSERC, and in part by the Hunan Province Key Laboratory for Ultra-Fast Micro/Nano Technology and Advanced Laser Manufacture under Grant 2018TP1041. (Corresponding author: Xianjun Deng.) L. Dai and B. Wang are with the School of Electronic, Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
机构署名:
本校为通讯机构
院系归属:
电气工程学院
土木工程学院
摘要:
The ever-growing Industrial Internet of Things (IoT) provides a powerful method to sense a series of critical industrial environments. This paper studies how to deploy the fixed number of IoT nodes so that the network lifetime is maximized in a sensing field with obstacles while guaranteeing the requirements of confident information coverage, network connectivity, energy efficiency, fault tolerance, and reliability. An IoT node deployment scheme based on an improved nature-inspired genetic algorithm is proposed to solve the defined constrained optimization problem. In the proposed IoT node dep...

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