Efficient Network Selection Using Multi-Depot Routing Problem for Smart Cities  

作　　者：R.Shanthakumari Yun-Cheol Nam Yunyoung Nam Mohamed Abouhawwash 

机构地区：[1]Department of Information Technology,Kongu Engineering College,Perundurai,638060,India [2]Department of Architecture,Joongbu University,Goyang,10279,Korea [3]Department of ICT Convergence,Soonchunhyang University,Korea [4]Department of Mathematics,Faculty of Science,Mansoura University,Mansoura,35516,Egypt [5]Department of Computational Mathematics,Science,and Engineering(CMSE),Michigan State University,East Lansing,MI,48824,USA

出　　处：《Intelligent Automation & Soft Computing》2023年第5期1991-2005,共15页智能自动化与软计算（英文）

基　　金：supported by the National Research Foundation of Korea(NRF)Grant funded by the korea government(MSIT)(No.2022H1D8A3038040)and the Soonchunhyang University Research Fund.

摘　　要：Smart cities make use of a variety of smart technology to improve societies in better ways.Such intelligent technologies,on the other hand,pose sig-nificant concerns in terms of power usage and emission of carbons.The suggested study is focused on technological networks for big data-driven systems.With the support of software-defined technologies,a transportation-aided multicast routing system is suggested.By using public transportation as another communication platform in a smart city,network communication is enhanced.The primary objec-tive is to use as little energy as possible while delivering as much data as possible.The Attribute Decision Making with Capacitated Vehicle(CV)Routing Problem(RP)and Half Open Multi-Depot Heterogeneous Vehicle Routing Problem is used in the proposed research.For the optimum network selection,a Multi-Attribute Decision Making(MADM)method is utilized.For the sake of reducing energy usage,the Capacitated Vehicle Routing Problem(CVRP)is employed.To reduce the transportation cost and risk,Half Open Multi-Depot Heterogeneous Vehicle Routing Problem is used.Moreover,a mixed-integer programming approach is used to deal with the problem.To produce Pareto optimal solutions,an intelligent algorithm based on the epsilon constraint approach and genetic algorithm is cre-ated.A scenario of Auckland Transport is being used to validate the concept of offloading the information onto the buses for energy-efficient and delay-tolerant data transfer.Therefore the experiments have demonstrated that the buses may be used effectively to carry out the data by customer requests while using 30%of less energy than the other systems.

关 键 词：Smart cities data offloading energy consumption bi-objective capacitated vehicle routing problem public transportation big data 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]