Journal on Communications ›› 2023, Vol. 44 ›› Issue (7): 1-13.doi: 10.11959/j.issn.1000-436x.2023116

• Papers •    

AoI-oriented low-energy-consumption information collection and transmission scheduling mechanism for emergency UAV networks

Yuming ZHANG1, Lianming XU2, Siyuan YIN2, Linrun JIANG1, Li WANG1, Aiguo FEI1   

  1. 1 School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China
    2 School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Revised:2023-03-07 Online:2023-07-01 Published:2023-07-01
  • Supported by:
    The National Key Research and Development Program of China(2020YFC1511801);The National Natural Science Foundation of China(U2066201);The National Natural Science Foundation of China(62171054);The National Natural Science Foundation of China(62201071);The National Natural Science Foundation of China(62201089)

Abstract:

To address the information collection and aggregation issue in emergency scenarios characterized by the lack of public infrastructure and unstable satellite signals, an information timeliness-oriented information collection and transmission scheduling mechanism was proposed for emergency unmanned aerial vehicle (UAV) networks where information collection and transmission capabilities were constrained by energy consumption.Considering the age of information (AoI) as the metric and constraint of information timeliness, a stochastics optimization problem was constructed with the objective of minimizing UAV information collection and transmission energy consumption.By resorting to the Lyapunov optimization technique, virtual queues were established to impose information timeliness constraints on queue lengths, and the original problem was decoupled into two sub-problems, information collection and transmission scheduling, with the premise of ensuring system stability.Corresponding heuristic algorithms were proposed for each sub-problem.Simulation results demonstrate that the proposed algorithm outperforms conventional queue scheduling approaches in convergence rates and system energy consumption with guaranteed information timeliness.

Key words: emergency communication, FANET, UAV network, age of information, Lyapunov optimization

CLC Number: 

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