A precision adjustable trajectory planning scheme for UAV-based data collection in IoTs

Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature

“…Wang et al [ 6 ] present a precision adjustable trajectory planning (PATP) scheme. The paper also considers the power consumption of wireless communication in the on-demand PATP (OD-PATP) scheme.…”

“…A new system for agrometereological data collection in areas lacking communication networks [6] A precision adjustable trajectory planning scheme for UAV-based data collection in IoTs [7] A solution for data collection of large-scale outdoor internet of things based on UAV and dynamic clustering [8] A Survey of Key Issues in UAV Data Collection in the Internet of Things [9] BEE-DRONES: Ultra low-power monitoring systems based on unmanned aerial vehicles and wake-up radio ground sensors [10] Data collection using unmanned aerial vehicles for Internet of Things platforms [11] drone-Enabled Internet-of-Things Relay for Environmental Monitoring in Remote Areas Without Public Networks [12] Dynamic Rendezvous Node Estimation for Reliable Data Collection of a drone as a Mobile IoT Gateway [13] Efficient and Reliable Aerial Communication with Wireless Sensors [14] Efficient data collection by mobile sink to detect phenomena in internet of things [15] Environmental Monitoring Using a drone-Enabled Wireless Sensor Network [16] Internet of Things Data Collection Using Unmanned Aerial Vehicles in Infrastructure Free Environments [17] LoRa Communications as an Enabler for Internet of drones towards Large-Scale Livestock Monitoring in Rural Farms [18] Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges [19] Performance Evaluation of 802.11 IoT Devices for Data Collection in the Forest with drones [20] UAV path planning for emergency management in IoT [21] Area Division Cluster-based Algorithm for Data Collection over UAV Networks [22] A Brief Review of the Intelligent Algorithm for Traveling Salesman Problem in UAV Route Planning [23] Age-optimal trajectory planning for UAV-assisted data collection [24] Age-optimal path planning for finite-battery UAV-assisted data dissemination in IoT networks…”

Grid-Based coverage path planning with NFZ avoidance for UAV using parallel self-adaptive ant colony optimization algorithm in cloud IoT

“…The emergence of EC and CloudIoT brings many new applications, such as tasks offloading strategies [7][8][9], dynamic resource management [10], internet of vehicles [11,12], geographical Point-of-Interest (POI) recommendation [13], privacy security and recommender systems [14], cloud-based big data technique [15], smart city [16,17], fault-tolerant placement for cloud systems [18], data forecasting [19], convergence technology of computing, communication and caching [20], edge-cloud collaboration method [21], the efficient data collection with UAVs [22,23] and et al. Among them, the application of UAV can significantly improve the capabilities of IoT devices by processing the data of these devices.…”