JOURNAL ARTICLE

Long Term Energy Consumption Minimization-based Data Collection for UAV-Assisted WSNs

Abstract

In this paper, we consider the data collection problem in an unmanned aerial vehicle (UAV)-assisted wireless sensor network (WSN). To address the energy consumption of the UAV, we formulate joint data scheduling and trajectory planning problem as an average minimization energy consumption. To solve the formulated optimization problem, we first propose a multi-time slot KM based algorithm to determine data scheduling strategy. We then model the UAV trajectory planning problem as a Markov decision process (MDP) and propose a deep Q-network based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms.

Keywords:
Computer science Energy consumption Markov decision process Wireless sensor network Scheduling (production processes) Minification Real-time computing Energy minimization Data collection Mathematical optimization Job shop scheduling Optimization problem Trajectory Markov process Distributed computing Computer network Algorithm Engineering

Metrics

1
Cited By
0.52
FWCI (Field Weighted Citation Impact)
8
Refs
0.78
Citation Normalized Percentile
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Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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