Serv-HU: Service Hand-off for UAV-as-a-Service

IF 5.8 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Services Computing Pub Date : 2024-12-24 DOI:10.1109/TSC.2024.3521684
Arijit Roy;Veera Manikantha Rayudu Tummala;Vinay Yadam
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Abstract

In this work, we propose a UAV Service Hand-off scheme (Serv-HU) for the UAV-as-a-Service (UaaS) platform to provide seamless UAV services to the end-users. Traditionally, a service provider of a UaaS platform serves a limited application area due to the unavailability of adequate resources such as UAVs. Failing to deliver the service by the service providers for the requested entire application area by the end-user affects the reputation of the service providers. Consequently, the service delivery for a partial application area impacts the overall business, which is unacceptable for a Service-Oriented Architecture. To address this issue, we design a service hand-off scheme that enables the service providers to serve the entire requested application area by the end users with the help of other available service providers. We consider the presence of two types of service providers – Primary (PSP) and Secondary (SSP) in a UaaS platform. We apply a two-stage approach for the UAV service delivery to the end-users. In the first stage, a PSP optimally selects the SSPs for serving the uncovered application area by the PSP. The end-users request the service from the PSP, and on failing to provide the service for the entire application area, the PSP makes the service available from the optimally selected SSPs. In the second stage, we design an optimal pricing strategy that helps in determining the price charged to the end-users considering the involvement of PSPs and SSPs. We apply the Lagrangian multiplier method and Karush-Kuhn-Tucker (KKT) conditions to achieve the outcomes of these two stages. The simulation results depict that the charged price is reduced by $10.3 - 12.7\%$ while we apply the optimal SSP selection strategy as compared to the random selection of SSPs.
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Serv-HU:无人机即服务的服务切换
在这项工作中,我们提出了一种针对无人机即服务(UaaS)平台的无人机服务移交方案(Serv-HU),为最终用户提供无缝的无人机服务。传统上,由于无法获得足够的资源(如无人机),无人机服务平台的服务提供商服务于有限的应用领域。服务提供者未能为最终用户请求的整个应用程序区域交付服务,会影响服务提供者的声誉。因此,部分应用程序领域的服务交付会影响整个业务,这对于面向服务的体系结构来说是不可接受的。为了解决这个问题,我们设计了一个服务移交方案,使服务提供者能够在其他可用服务提供者的帮助下,为最终用户请求的整个应用程序区域提供服务。我们考虑在UaaS平台中存在两种类型的服务提供商——主要(PSP)和次要(SSP)。我们采用两阶段方法将无人机服务交付给最终用户。在第一阶段,PSP以最佳方式选择为PSP未覆盖的应用程序区域提供服务的ssp。最终用户向PSP请求服务,如果不能为整个应用程序区域提供服务,PSP将从最佳选择的ssp中提供该服务。在第二阶段,我们设计了一个最优定价策略,该策略有助于确定向最终用户收取的价格,考虑到psp和ssp的参与。我们应用拉格朗日乘数法和kush - kuhn - tucker (KKT)条件来得到这两个阶段的结果。仿真结果表明,与随机选择SSP相比,采用最优SSP选择策略可使收费价格降低10.3% ~ 12.7%。
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来源期刊
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
11.50
自引率
6.20%
发文量
278
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Services Computing encompasses the computing and software aspects of the science and technology of services innovation research and development. It places emphasis on algorithmic, mathematical, statistical, and computational methods central to services computing. Topics covered include Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, and Services Operations and Management. The transactions address mathematical foundations, security, privacy, agreement, contract, discovery, negotiation, collaboration, and quality of service for web services. It also covers areas like composite web service creation, business and scientific applications, standards, utility models, business process modeling, integration, collaboration, and more in the realm of Services Computing.
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