期刊论文

Yi, Lingzhi

英文

Information Fusion

1566-2535

2019

52

90-105

10.1016/j.inffus.2018.11.020

This work is partly supported by the National Natural Science Foundation of Chinander Grants 61871209 and 61401193, the Natural Science Foundation of Hunan Provincender Grants 2017JJ3275 and 2018JJ2333, the NSERC, and the visiting postdoctoral researcher program at St. Francis Xavier University funded by State Scholarship Fund of the China Scholarship Councilnder Grants 201608430036 and 201708430226, the Hunan Province Key Laboratory for Ultra-Fast Micro/Nano Technology and Advanced Laser Manufacturender Grant 2018TP1041, and in part by the Research Foundation of Education Bureau of Hunan Provincender Grants 14A119 and 16A181.

本校为第一且通讯机构

Sensor networks, as a promising network paradigm, have been widely applied in a great deal of critical real-world applications. A key challenge in sensor networks is how to improve and optimize coverage quality which is a fundamental metric to characterize how well a point or a region or a barrier can be sensed by the geographically deployed heterogeneous sensors. Because of the resource-limited, battery-powered and type-diverse features of the sensors, maintaining and optimizing coverage quality includes a significant amount of challenges in heterogeneous sensor networks. Many researchers fro...