Serial Distributed Detection in Multihop Multirelay Wireless Sensor Networks With End-Edge-Cloud Orchestration Under Graph-Powered Computing

被引:0
作者
Zhang, Gaoyuan [1 ,2 ]
He, Xiaodong [1 ]
Mu, Yu [1 ]
Wang, Weiguang [1 ]
Li, Yiwei [1 ]
Ji, Baofeng [1 ,2 ]
Mumtaz, Shahid [3 ,4 ]
机构
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Peoples R China
[2] Henan Acad Sci, Inst Phys, Zhengzhou 451451, Peoples R China
[3] Nottingham Trent Univ, Dept Comp Sci, Nottingham NG1 4FQ, England
[4] Kyung Hee Univ, Dept Elect Engn, Yongin 17104, Gyeonggi, South Korea
关键词
Decision fusion rule; end-edge-cloud orchestrated computing; global optimality; multihop multirelay wireless sensor networks (WSNs); serial distributed detection; DECISION FUSION; MONITORING-SYSTEM; ANOMALY DETECTION; INTELLIGENCE;
D O I
10.1109/JIOT.2024.3496696
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The decision fusion rule and global optimality is studied for serial distributed detection in multihop multirelay wireless sensor networks (WSNs) under the end-edge-cloud orchestration. In particular, a multihop relay node serial distributed detection configuration is considered. Then, the optimal decision fusion rule is derived, and the detection probability and false alarm probability of the distributed detection system are given. Third, the suboptimal decision fusion rule under different conditions for the multihop relay channel is represented. Furthermore, in order to solve the high energy consumption and bandwidth limitation problems of WSNs, we consider the global optimization for serial distributed detection systems and obtain the sufficient condition. Finally, under different communication conditions, the detection performance of the system has been kept optimal when we increase the number of sensors in series. We validate the conclusions based on the numerical results. The sufficient condition for optimality detection of serial distributed detection multirelay sensor network system is satisfied then the system can achieve optimal detection performance.
引用
收藏
页码:3720 / 3733
页数:14
相关论文
共 46 条
[11]   Fusion of Evidences in Intensity Channels for Edge Detection in PolSAR Images [J].
De Borba, Anderson A. ;
Marengoni, Mauricio ;
Frery, Alejandro C. .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
[12]   Edge-Based Optimal Routing in SDN-Enabled Industrial Internet of Things [J].
Desai, Prasad Ramesh ;
Mini, S. ;
Tosh, Deepak K. .
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (19) :18898-18907
[13]   Make the Rocket Intelligent at IoT Edge: Stepwise GAN for Anomaly Detection of LRE With Multisource Fusion [J].
Feng, Yong ;
Liu, Zijun ;
Chen, Jinglong ;
Lv, Haixin ;
Wang, Jun ;
Yuan, Junshe .
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (04) :3135-3149
[14]   Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum [J].
Habeeb, Fawzy ;
Alwasel, Khaled ;
Noor, Ayman ;
Jha, Devki ;
AlQattan, Duaa ;
Li, Yinhao ;
Aujla, Gagangeet Singh ;
Szydlo, Tomasz ;
Ranjan, Rajiv .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (11) :8017-8026
[15]  
Hellman M. E., 1969, Learning with finite memory
[16]   Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping [J].
Huang, Peng ;
Zeng, Liekang ;
Chen, Xu ;
Huang, Luo ;
Zhou, Zhi ;
Yu, Shuai .
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (15) :14087-14102
[17]  
Imamoglu M., 2008, Serial distributed detection strategies for wireless sensor networks
[18]   Node Failure Handling for Serial Distributed Detection in Wireless Sensor Networks [J].
Imamoglu, Mumin ;
Keskinoz, Mehmet .
2010 IEEE 21ST INTERNATIONAL SYMPOSIUM ON PERSONAL INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2010, :1894-1898
[19]   Serial Plackett Fusion for Decision Making [J].
Javadi, S. Hamed ;
Mohammadi, Abdolreza ;
Farina, Alfonso .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2020, 56 (01) :811-816
[20]   Decentralized Learning Framework for Hierarchical Wireless Networks: A Tree Neural Network Approach [J].
Kim, Mintae ;
Lee, Hoon ;
Hwang, Sangwon ;
Kim, Minseok ;
Debbah, Merouane ;
Lee, Inkyu .
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (10) :17780-17796