review · ACM Computing Surveys
Unmanned aerial vehicle assisted Internet of Things communication has emerged as a valuable tool for operations in environments where direct human access is difficult or impossible. Typical applications span environmental observation, such as tracking wildfires, deforestation, and coastal changes, through to sensitive defence operations. However, widespread usability remains constrained by several issues, most notably Quality of Service, an element frequently neglected in existing academic studies. To address this omission, a systematic survey analysing publications from 2015 to 2023 evaluates service quality metrics, mapping out both achievements and remaining technical limitations. By detailing these unresolved obstacles, the work establishes a research roadmap to guide future technical developments and contrasts its findings with prior literature reviews to establish the necessity and timeliness of focusing on service performance.
Deploying drones alongside connected sensors allows critical data collection in remote or dangerous environments without risking human life. However, these systems are ineffective if data transmission cannot meet reliable performance standards. Clarifying service quality limitations helps researchers and developers understand why networks fail and what must be addressed before automated monitoring can be safely relied upon in environmental and emergency situations.
Potential use cases include automated wildfire detection, coastal surveillance, forestry monitoring, and defence operations, relevant to environmental agencies and security operators. Because this work is a systematic literature review examining performance gaps and defining a future research roadmap, the technology remains at an early research stage. Widespread commercial deployment will require overcoming the unresolved Quality of Service challenges outlined in the survey.
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Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an emerging concept that effectuates the foreknowledge of innovative technologies. With the accelerated advancements in IoT applications, the importance of this technology became more impactful and persistent. Moreover, this technology has demonstrated useful contributions across various domains, ranging from general to specific applications. Examples include wildfire monitoring, coastal area monitoring, deforestation monitoring, and sensitive military operations, where human access is limited or not feasible. These examples underscore the technology’s importance in scenarios where direct human involvement is challenging or impossible. Although this technology offers numerous benefits, it is essential to note that it also faces several challenges. Among these, Quality of Service (QoS) is a key concern, which limits its useability in various applications. Unfortunately, most researchers in the present literature have overlooked this important factor without giving it considerable attention. To fill this gap, we are presenting a systematic review of the present literature associated with the QoS metrics of this emerging technology from 2015 to 2023 to highlight their contributions and limitations. Based on the systematic review, we highlight the open challenges of this technology to set a roadmap for futuristic research. Finally, we compared each portion of this work with the previously published review articles to confirm the essence of this work, along with an explanation of why this survey is needed and in-time.
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DOI: 10.1145/3657287
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