5G-IANA aims at providing an open 5G experimentation platform, on top of which third-party experimenters, i.e., SMEs in the Automotive vertical sector will have the opportunity to develop, deploy and test their services. The provided Automotive Open Experimentation Platform (AOEP) is a set of hardware and software resources that provides the computational and communication/transport infrastructure. This is coupled with management and orchestration components, as well as an enhanced network application Toolkit tailored to the Automotive sector, for simplifying the design and onboarding of new network applications. 5G-IANA exposes to experimenters Application Programming Interfaces (APIs) for facilitating all the different steps towards the production stage of a new service. The platform supports different virtualization technologies integrating different Management and Orchestration (MANO) frameworks for enabling the deployment of end-to-end network services across different segments (vehicles, road infrastructure, Multi-access Edge Computing (MEC) nodes and cloud resources). The 5G-IANA network application toolkit is linked with an Automotive Networks/ Application Functions Repository including an extensive portfolio of ready-to-use and openly accessible Automotive-related functions and network application templates, that are available for SMEs to use and develop new applications. Overall, 5G-IANA aspires to encourage third parties to test novel software or hardware or use cases by exploiting the platform capabilities.

This paper focuses on the evolution of communication networks and service delivery. It identifies major trends that will drive the evolution of networks and service delivery in the next years. Among them Software Defined Networking (SDN) is probably the single most important technology evolution trend that will change networking. Based on the identified trends it presents a reference service delivery architecture, which it then translates into selected satellite terrestrial integration scenarios. The paper argues that SDN, originating from data communications is a technology that should be considered in any satellite terrestrial integration scenario, and highlights its potential role in the selected integration scenarios. It concludes that for the successful integration of satellite in such future integrated scenarios that all encompass SDN a further extension of the OpenFlow standard is needed that considers and handles the specificities of the satellite communication links. This is basically a software and implementation issue, which could be handled as part of the continued revision and enhancement within the frame of OpenFlow standardization.

We present a techno-economic analysis of services deployed over integrated satellite-terrestrial networks which employ an Information-Centric Networking (ICN) architecture. Our methodology provides a systematic procedure to assess the gains of various service integration scenarios, initially identifying the technical capabilities for which ICN can provide advantages and considering the requirements of each scenario, and then combining the pure technical gains with economic and market impact factors. This allows us to prioritize scenarios based on their techno-economic impact for adopting an ICN architecture to integrate satellite and terrestrial networks.

The current Internet architecture was founded upon a host-centric communication model, which was appropriate for coping with the needs of the early Internet users. Internet usage has evolved however, with most users mainly interested in accessing (vast amounts of) information, irrespective of its physical location. This paradigm shift in the usage model of the Internet, along with the pressing needs for, among others, better security and mobility support, has led researchers into considering a radical change to the Internet architecture. In this direction, we have witnessed many research efforts investigating Information-Centric Networking (ICN) as a foundation upon which the Future Internet can be built. Our main aims in this survey are: (a) to identify the core functionalities of ICN architectures, (b) to describe the key ICN proposals in a tutorial manner, highlighting the similarities and differences among them with respect to those core functionalities, and (c) to identify the key weaknesses of ICN proposals and to outline the main unresolved research challenges in this area of networking research.

The recent paradigm shift in the Internet's usage, from the host-centric to a content-centric communication model, where users request information irrespectively of its location, is coupled with an increasing need for converged and seamless access over heterogeneous wired and wireless networks. By integrating satellite communication components into a publish-subscribe Information-Centric Networking (ICN) architecture, we jointly exploit the capabilities and advantages of each: transparent use of terrestrial multicasting and satellite broadcasting, content-based traffic engineering, multipath transfer, in-network caching capabilities, and seamless mobility. Experimenting over a realized integrated-terrestrial ICN testbed, we demonstrate and illustrate key functionalities and gains for various services and applications.

The recent paradigm shift in the Internet’s usage, from the host-centric communication model to a model where users request information irrespectively of its location, is coupled with an increasing need for converged and seamless access over heterogeneous wired and wireless (fixed, cellular, and satellite) networks. Using a satellite network emulator within a publish/subscribe Information Centric Networking (ICN) testbed, this demo illustrates key functionalities and gains when using ICN for integrating terrestrial and satellite networks, jointly exploiting the advantages of each: transparent use of terrestrial multicasting and satellite broadcasting, content-based multipath transfer, and

Information-centric networking (ICN) is a paradigm that aims to better reflect current Internet usage patterns by focusing on information, rather than on hosts. One of the most critical ICN functionalities is the efficient resolution/location of information objects i.e., name resolution. The vast size of the information object namespace calls for a highly scalable and efficient name resolution approach. Currently proposed solutions either rely on a DHT structure, thus ensuring load balancing and scalability at the cost of inefficient routing, or on hierarchical structures, thus preserving routing efficiency at the cost of limited scalability. In this paper, we study in detail the tradeoff between state/signaling overhead versus routing efficiency for a generic name-resolution system based on a novel DHT scheme with enhanced routing properties, and compare it to DONA, an ICN architecture based on hierarchical resolution and routing.

This paper addresses scenarios of integrated satellite-terrestrial Future Internet networks based on the Information-Centric Networking (ICN) communication paradigm. Focus is given on three integration scenarios: i) Hybrid Broadcast IPTV, paving the way for SatCom integration within the Future Media Internet; ii) Smart M2M Transport, paving the way for SatCom integration within a future Internet of Things; and iii) Extended 4G Backhauling, paving the way for SatCom integration within the 4G mobile Internet.

This paper discusses the integration of satellite and terrestrial networks over an Information Centric Networking (ICN) architecture. Focus is given on the identification of the key features that characterize ICN architectures and how these may impact, but also be affected by, the integration of satellite and terrestrial networks. The work presented contains intermediate results obtained as part of the ongoing ESA ARTES study `φSAT' on the role of satellites in the Future Internet.

Overlay networks are widely used for locating and disseminating information, by means of custom routing and forwarding on top of the underlying network. Distribute d Hash Table (DHT) based overlays provide flexibility coupled with good scalability and load balancing properties. Howev er, this comes at the cost of inefficient routing, caused by the lack of adaptation to the underlying network: current DHT designs often overlook physical network proximity, administrative boundaries and inter-domain routing policies, or a combination thereof. In this paper we show how to construct a DHT-based overlay network that takes all these aspects int o account. Based on the Pastry distributed object location an d routing substrate and the Canon paradigm, we developed HPastry, an overlay DHT scheme that harvests the scalability and load balancing features of flat DHT designs, while also adapting to the underlying network topology, administrative structure and routing policies. We evaluate the performance characteristics of the proposed scheme through an extensiv e set of detailed simulations over realistic inter-network topologies. Our results show that H-Pastry substantially improves routing by reducing both overlay path stretch (by up to 50%) and routing policy violations (by up to 67%), compared to the canonical Chord DHT. In addition, the canonical design of HPastry keeps traffic within administrative boundaries as far as possible, while also creating excellent opportunities f or the support of caching and multicast. Keywords-overlay; hierarchical; DHT; Pastry;

In this paper we study the problem of quantifying the value of spectrum opportunities to secondary users in Dynamic Spectrum Access (DSA) systems. We especially focus on estimating the impact of key channel parameters, namely the activity patterns of the primary users on the expected quality of experience for secondary users accessing video streams over a DSA system. In our study we consider three basic types of video representing typical video content categorized according to scene change rate ranging from low-activity newscast to high-activity sports video. Through extensive simulations we show that given some information on the expected level of activity in the video, the duty cycle of the primary user alone can yield good predictors for the expected quality of experience of secondary users. Knowledge of the precise distributions of the primary user ON and OFF periods can be used to further enhance the precision of the prediction, but at least for exponential and log-normal channel access patterns the differences are rather small. Finally, we study the problem of determining the channel statistics that are needed to apply the predictor in an optimization setting. Our simulations show that high accuracy can be achieved in matter of minutes of estimation time, which is more than enough for practical deployments in typical urban environments.

Advances in wireless communications and information technology have made the mobile Web a reality. The mobile Web is the response to the need for anytime, anywhere access to information and services. Many wireless applications have already been deployed and are available to customers via their mobile phones and wirelessly connected PDAs (personal digital assistants). However, developing the “killer” wireless application is still a goal for the industry rather than a reality. One direction for developing such applications points to locationbased services (LBSs). LBSs are services that are enhanced with and depend on information about a mobile station’s position. Location information by itself is not the ultimate service, but if location information is combined with content, useful services may be developed. These services offer the capability to users and machines to locate persons, vehicles, machines, and resources, as well as the possibility for users to track their own locations (GSM Association, 2003). The focus of this article is the analysis of the most critical success factors and challenges for LBS.

We propose a distributed channel selection protocol for cognitive radio networks that are organized as ad hoc architectures considering single hop transmission. The channel selection is performed over a common control channel in such a way that channel congestion as well as heavy sensing effort is avoided. Simulation results show that the proposed protocol significantly outperforms a random channel selection protocol.

Optimized service provisioning is a challenging problem in dynamic environments such as mobile ad hoc networks (MANETs). Most of the existing approaches assume an environment, where service provision is free (and dictated) and servers do not have an incentive to maximize their benefit. In this paper we consider the nodes in MANETs to be independent, rational agents trying to maximize their profits through service provision. We model this problem as a generalized assignment problem (GAP). We adopt a pay-as-you-go model and introduce into the proposed profit maximization algorithm expected payoffs based on estimates of server-to-client connectivity. We define connectivity as the lifetime of the network connection between a client and a server. We experimentally study cases with non-cooperative and cooperative servers and investigate the gain of the estimate based maximization algorithm versus a classic maximization algorithm, which does not take into account the networkpsilas dynamics that affect server-to-client connectivity. The results show that our approach achieves up to three-fold improved server profits compared to the classical one and is especially suited for MANETs with high-mobility.

This article surveys research in service advertising, discovery, and selection for mobile ad hoc networks and related issues. We include a categorization of service discovery architectures for MANETs and their modes of operation, presenting their merits and drawbacks. We pay particular attention to cross-layer service discovery - a special class of efficient service discovery approaches for MANETs. We also present security issues and discuss service description options, service selection mechanisms, and service-state maintenance techniques. We conclude with a summary, an outlook, and directions for future research in this area.

In the past few years there has been increasing research interest in service discovery protocols for mobile ad hoc networks (MANET). The most promising approaches so far address energy efficiency by merging the service discovery process with the routing process. Actually the service information is piggy-backed into routing messages, so that a node is simultaneously informed of available services and of routes towards the corresponding service providers. This cross layering leads to improved adaptation to the network conditions and at the same time to significant energy savings. Those savings are infeasible if the two processes are implemented separately, because then each one would have to use its own messages and create additional (if not) redundant network overhead. In this paper we propose such a hybrid adaptive protocol for energy consumption-avert users. This protocol, named AVERT, is based on the independent zone routing framework (IZR) and has the ability to allow each node to adapt its zone range (similarly to the way it is done in IZR). We also add a mechanism to adapt the sending rate of proactive messages on each node based only on local traffic monitoring. Through simulations we show that using this mechanism, the energy efficiency achieved is substantially higher compared to similar hybrid service and route discovery protocols.

IEEE 802.11k is an extension of the IEEE 802.11 specification for radio resource measurements. In an IEEE 802.11k-enabled wireless LAN, an access point or other network element may request from a client or another access point to monitor and report the load of a channel. We call the latter a channel monitoring station. In this paper we propose a mechanism for a channel monitoring station to efficiently derive accurate values of channel load.We especially focus on optimizing the duration of channel monitoring and thus minimize the impact on applications. Note that such mechanisms are critical for the success of new sharing regimes such as Cognitive Radio and Open Spectrum Access.

networks, which operate without the need of an infrastructure. In such networks, mobile nodes must rely on their own capabilities and on other peers' capabilities to perform their tasks. In this context, many service discovery protocols have been proposed in order for mobile peers to be able to discover and take advantage of each other's services. A basic building block for service discovery protocols is their service selection strategy. Especially in service-rich environments with many (possibly resource poor) mobile nodes, the service selection strategy employed is of major importance. In this paper we investigate the impact of two basic and easy to implement service selection strategies on the lifetime of mobile servers. The first strategy takes into account hop-based server proximity and promotes the selection of the nearest mobile server, while the second strategy takes into account the remaining energy of service providers and promotes the selection of the mobile server with the maximum remaining energy. Through extensive simulations, we show that the provider's remaining energy yields the best performance when used as a service selection criterion under most situations, and that the shortest path selection criterion presents very competitive performance. The performance metrics used for evaluating both service selection strategies are service and network lifetimes, service success and service discoverability ratios.