4.6 Article

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

期刊

ELECTRONICS
卷 10, 期 21, 页码 -

出版社

MDPI
DOI: 10.3390/electronics10212603

关键词

wireless sensor networks (WSNs); unmanned aerial vehicles (UAVs); mobile robots; communication structures; data collection scenarios; energy consumption; control algorithms

资金

  1. Thai Nguyen University of Technology (TNUT), Ministry of Education and Training [B2021-TNA-01]

向作者/读者索取更多资源

Wireless sensor networks often work with drones or unmanned vehicles to support their applications in multimedia networks. This paper examines various scenarios utilizing drones and unmanned vehicles for data collection, discussing a range of technologies and techniques to support drones, communication links, control algorithms, and more.
Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

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