Open AccessImprove communication network issues for multi UAV
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/1351022021
Subject(s) - timeout , computer science , network packet , lagrangian relaxation , node (physics) , relay , throughput , cross layer optimization , optimization problem , relaxation (psychology) , routing (electronic design automation) , wireless ad hoc network , decomposition , dual (grammatical number) , computer network , mathematical optimization , power (physics) , wireless network , wireless , algorithm , mathematics , engineering , art , ecology , literature , structural engineering , biology , psychology , telecommunications , social psychology , quantum mechanics , physics
In this paper, we address the problems of power efficiency, real-time routing, and rate allocation in flying ad-hoc networks (FANETs). The study designed a cross-layer optimization framework with delay constraints to solve the proposed problems and then used Lagrangian relaxation and dual decomposition methods to decompose the joint optimization problem into several lower complexity sub-problems. Moreover, Case model 3 is employed that allows each relay node to complete the optimization of different sub-problems through local information. The results show that the proposed algorithm can effectively increase the network throughput and reduce the packet-timeout ratio and power efficiency.