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In a smart city environment, we look at a new, upcoming generation of vehicles running on electric power supplied by on-board batteries. Best recharging options include charging at home, as well as charging at public areas. In this setting, electric vehicles will be informed about public charging stations using wireless communications. As the charging(More)
Over the last decades, modeling of user mobility has become increasingly important in mobile networking research and development. This has led to the adoption of modeling techniques from other disciplines such as kinetic theory or urban planning. Yet these techniques generate movement behavior that is often perceived as not “realistic” for(More)
Over the past decade, telecommunication network operators have more and more realized the added value of data analytics for their network deployment efficiency. Early studies targeted the global network perspective by localizing peak loads, both in terms of area and time period. Due to their higher granularity and information richness, current(More)
Wireless Mesh Networks (WMNs) have gained increasing attention as an attractive means to provide connectivity in complement to access as offered by regular Internet Service Providers (ISPs). Such a grass-root technique, however, often suffers from detrimental operating conditions and poor quality. Network virtualization, on the other hand, has been widely(More)
In usability evaluations, experiments are often conducted in closed laboratory situations to avoid disturbing influences. Due to non-realistic usage assumptions, this approach has important shortcomings when mobile Human Computer Interactions (m-HCI) have to be evaluated. Field studies allow to perform experiments close to real-world conditions, but(More)
To detect peers in mobile opportunistic networks, mobile devices transmit and listen for beacons (“scanning”). If networks are sparse, devices spend quite a bit of energy scanning the vicinity for possible contacts with their radios. Numerous techniques were developed to adapt the scanning intervals as a function of the observed node density.(More)
VANET applications are often providing street traffic information to vehicles and drivers, regarding, for instance, traffic conditions and parking space availability. This information influences in turn the driving behavior in real-world settings. Mobility models used in current VANET simulations are mostly ignoring this feedback entirely. In cases the(More)
In mobility-assisted, opportunistic networks, data is disseminated in a store-and-forward manner by means of spontaneously connecting mobile devices. Therefore, mobility itself moves in the center of investigation. Knowledge about movement characteristics of single devices can be used to add realism to random mobility models and to understand the likelihood(More)
Opportunistic, mobility-assisted, or encounter networking is a method based on ad-hoc networking and introduced to disseminate data in a store-and-forward manner by means of spontaneously connecting mobile devices. While in many networked systems mobility is treated as a challenge requiring additional management, in opportunistic networks movement(More)
Scalable and automated monitoring processes for testing, debugging, and operation of VNFs and service-chains are crucial components towards achieving the aims of network softwarization - i.e., cheaper, faster, and shorter service deployment and network management processes. In this paper we present a decentralized monitoring approach aimed at supporting(More)