Integration of heterogeneous wireless access networks with IP multimedia subsystem

Next generation heterogeneous wireless networks are expected to interwork with Internet Protocol (IP)-based infrastructures. Conventional network services operate like silos in that a specific set of services are offered over a specific type of access network. As access networks evolve to provide IP-based packet access, it becomes attractive to break these “service silos” by offering a converged set of IP-based services to users who may access these services using a number of alternative access networks. This trend has started with third generation cellular mobile networks, which have standardized on the use of the IP Multimedia Subsystem (IMS) to manage user access to a wide variety of multimedia services over the mobile Internet, while facilitating interworking of heterogeneous wireless and landline access networks. The future users of communication systems will subscribe to both IP-based and Circuit Switched (CS) based services and in the foreseeable future a single database that handles user profiles across all domains will be required. Home Subscriber Server (HSS) as an evolved version of Home Location Register (HLR) is one of the key components of IMS. In deploying HSS as a central repository database, in a fully overlapped heterogeneous network setting, changes of access mode are very frequent and conveying this information to HSS imposes excessive signaling load and delay. In our proposed scheme we introduce an Interface Agent (IA) for each location area that caches the location and information about the access mode through which a user can be reached. This method results in significant amount of savings in signaling cost and better delay performance. The existing call delivery approaches in cellular networks may not be well suited for future communication systems because they suffer from unnecessary usage of network resources for call attempts that may fail which adds to excessive signaling delays and queuing costs. Reducing the number of queries and retrievals from the database will have a significant impact on the network performance. We present a new scheme based on Reverse Virtual Call setup (RVC) as a solution to the call delivery problem in heterogeneous wireless networks and evaluate the performance of this framework.Applied Science, Faculty ofElectrical and Computer Engineering, Department ofGraduat

Towards a service centric contextualized vehicular cloud

This paper proposes a service-centric contextualized vehicular (SCCV) cloud platform to facilitate the deployment and delivery of cloud-based mobile applications over vehicular networks. SCCV cloud employs a multi-tier architecture that consists of the network, mobile device, and cloud tiers. Based on this architecture, we present a seamless solution for delivery of personalized mobile applications to vehicular users in an intelligent and reliable manner. We further develop and deploy prototype mobile applications on SCCV cloud, to demonstrate the desired functionality and feasibility of SCCV cloud. Our practical experiments show that SCCV cloud works efficiently with low networking overhead on popular mobile devices in real-world transportation scenarios

Creating smarter spaces to unleash the potential of health apps

© Springer International Publishing AG, part of Springer Nature 2018. Technologies necessary for the development of pervasive health apps with intensive and seamless interactions with their environments are now widely available. Research studies and experimentations have demonstrated the real ability for health apps to interact with their environment. However, designing, testing and ensuring the maintenance and evolution of pervasive health apps remains very complex. In particular, there is a lack of tools to enable developers to design apps that can adapt to increasingly complex and changing environments (sensors added or removed, failures, mobility etc.). This paper reflects our vision to reduce this complexity and is based on our current research work on smart environment and personalized health monitoring apps. It uses SAM, a smart asthma monitoring app as an illustration to highlight the need for a comprehensive set of new interactions to help health app developers interact with the users’ environment, and more specifically get a smarter access to the data. Some requirements can be on the minimum quality level of the data and the way to adapt to the diversity of the sources (data fusion/aggregation), on the network mechanisms used to collect the data (network/link level) and on the collection of the raw data (sensors). It discusses possible solutions to address these needs