Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives

被引:90
作者
Fascista, Alessio [1 ]
机构
[1] Univ Salento, Dept Engn, Via Monteroni, I-73100 Lecce, Italy
关键词
environmental monitoring; wireless sensor networks (WSNs); unmanned aerial vehicles (UAVs); crowdsensing; signal processing; pollution monitoring; natural disasters; WIRELESS SENSOR NETWORKS; CONSTRAINED DISTRIBUTED ESTIMATION; INDEPENDENT COMPONENT ANALYSIS; AWARE INCENTIVE MECHANISM; UNMANNED AERIAL VEHICLES; CONNECTED DOMINATING SET; AIR-QUALITY; HYPERSPECTRAL IMAGE; GAUSSIAN-PROCESSES; ANOMALY DETECTION;
D O I
10.3390/s22051824
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Fighting Earth's degradation and safeguarding the environment are subjects of topical interest and sources of hot debate in today's society. According to the United Nations, there is a compelling need to take immediate actions worldwide and to implement large-scale monitoring policies aimed at counteracting the unprecedented levels of air, land, and water pollution. This requires going beyond the legacy technologies currently employed by government authorities and adopting more advanced systems that guarantee a continuous and pervasive monitoring of the environment in all its different aspects. In this paper, we take the research on integrated and large-scale environmental monitoring a step further by providing a comprehensive review that covers transversally all the main applications of wireless sensor networks (WSNs), unmanned aerial vehicles (UAVs), and crowdsensing monitoring technologies. By outlining the available solutions and current limitations, we identify in the cooperation among terrestrial (WSN/crowdsensing) and aerial (UAVs) sensing, coupled with the adoption of advanced signal processing techniques, the major pillars at the basis of future integrated (air, land, and water) and large-scale environmental monitoring systems. This review not only consolidates the progresses achieved in the field of environmental monitoring, but also sheds new lights on potential future research directions and synergies among different research areas.
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页数:65
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