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Smart and intelligent network selection approach to support location-dependent and context-aware service migration
Journal of Ambient Intelligence and Smart Environments ( IF 1.7 ) Pub Date : 2020-05-22 , DOI: 10.3233/ais-200559
Riaz Ul-Amin 1, 2 , Joe Sventek 3 , Lewis Mackenzie 1 , Adnan Abid 4
Affiliation  

Vehicular networking has gained considerable interest within the research community and industry. The automotive industry is supporting the notion of pervasive connectivity by agreeing to equip vehicles with devices required for vehicular ad hoc networking. Equipped with these devices, mobile nodesin vehicular ad hoc networks (VANETs) are capable of hosting many types of applications as services for other nodes in the network. This research focuses on addressing the challenges of location-dependence, intermittent network connectivity and irregular network traffic flows in unplanned areas for VANETs to host and operate non-safety-critical VANETs services. We assume unplanned areas as the one that lack communication infrastructure and planning. Such areas observe irregular vehicular traffic on the roads as well as on the networks. This research investigates the shortcomings of location-dependence, intermittent network connectivity and irregular network traffic flows and addresses them by exploiting location-dependent service migration over an integrated network in an efficient and cost-effective manner.

中文翻译:

智能和智能的网络选择方法可支持依赖位置和上下文感知的服务迁移

车载网络在研究界和行业中引起了极大的兴趣。汽车行业通过同意为车辆配备车载自组网所需的设备来支持普及连接的概念。配备有这些设备的车辆自组织网络(VANET)中的移动节点能够托管许多类型的应用程序,作为网络中其他节点的服务。这项研究的重点是解决在计划外区域中VANET承载和操作非安全关键型VANET服务的位置依赖性,间歇性网络连接和不规则网络流量挑战。我们假设计划外地区是缺乏通信基础设施和计划的地区。这些区域在道路以及网络上观察到不规则的车辆通行。
更新日期:2020-06-30
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