期刊论文

Deng, Xianjun

英文

Information Fusion

1566-2535

2020

54

61-71

10.1016/j.inffus.2019.07.002

This work was supported in part by the National Natural Science Foundation of China under Grant 61871209 , in part by the Hunan Province Key Laboratory for Ultra-Fast Micro/Nano Technology and Advanced Laser Manufacture under Grant 2018TP1041, in part by Scientific Research Fund of Hunan Provincial Education Department under Grant 18B287 , in part by NSERC, in part by the Visiting Scholar Program at St. Francis Xavier University funded by State Scholarship Fund of the China Scholarship Council under 201708430226 and 201908430066 , in part by the Opening Project of Cooperative Innovation Center for Nuclear Fuel Cycle Technology and Equipment, University of South China under Grant 2019KFZ12 and 2019KFY24 , the Opening Project of Hunan Province Engineering Technology Research Center of Uranium Tailings Treatment 2019YKZX1006.

本校为第一且通讯机构

The body sensor networks (BSNs) have attracted great attention due to their numerous important features and wide applications in health and safety monitoring, especially in some hostile or potentially dangerous workplaces. In this paper, aiming to provide continuous coverage from the initial Region of Interest (ROI) to a New Region of Interest (NROI) to trace the BSNs for human health and safety monitoring, we formulate and define the novel confident information coverage (CIC)-based Intelligent Sensor Relocation for NROI (CIC-ISR-NROI) problem ...