PeerfactSim.KOM: Take it back to the streets

Wagener

Management and Security in the Age of Hyperconnectivity

et al. 2016

Self Cite

The increasing number of sensor-equipped mobile devices enables new applications for communication within crowds of people. Ranging from monitoring services that provide insights into the crowd's behavior to fully fledged messaging applications for end users, all such applications require communication protocols that are tailored to the characteristics of a mobile ad hoc network (MANET). A common communication scheme for such dynamic networks is the publish/subscribe (pub/sub) paradigm, that offers temporal and spatial decoupling. However, pub/sub protocols for MANETs are designed and evaluated under very restricted conditions regarding the expected mobility, number of users, application workload, and application requirements, targeting rather specific scenarios. In reality, such conditions are subject to change, especially considering people's behavior during crowded events. In this work, we propose a framework that enables dynamic transitions between different pub/sub protocols based on the currently monitored conditions or caused by an external trigger. We analyze the behavior during transitions and the overhead introduced by our framework through extensive simulations. By using simple pub/sub protocols and switching between them based on the observed conditions, we are able to maintain good service quality at reasonable overhead, thereby enabling applications to operate in dynamic conditions representative of mobile crowds.

Section: Integrating Existing Pub/sub Protocolsmentioning

confidence: 99%

A Framework for Publish/Subscribe Protocol Transitions in Mobile Crowds

Wagener

Management and Security in the Age of Hyperconnectivity

et al. 2016

Self Cite

“…Along these paths groups of nodes arrive, move along the paths, and subsequently leave the railway station either by train or by one of the exits. For the simulative evaluation comprising the model of the environment and the user mobility, we rely on PeerfactSim.KOM [15] that comprises a model from ns-3 [16] of the IEEE 802.11g standard to simulate the Wi-Fi ad hoc communication between the devices. Three hours of operation are simulated where the first hour is used to reach a steady state of the simulated scenario, while measurements are taken during the remaining two hours.…”

Section: A Modeling Of the Scenario And Evaluation Setupmentioning

confidence: 99%

Adaptive Monitoring for Mobile Networks in Challenging Environments

Stingl

2015 24th International Conference on Computer Communication and Networks (ICCCN)

et al. 2015

Self Cite

The increasing capabilities of mobile communication devices are changing the way people interconnect today. Similar trends in the communication technology domain are leading to the expectation that data and media are available anytime and everywhere. A result is an increasing load on communication networks. In dynamic mobile networks that particularly rely on wireless communication such data requirements paired with environmental conditions like mobility or node density increase the risk of network failure. Consequently, monitoring is crucial in mobile networks to ensure reliable and efficient operation. Current monitoring mechanisms mostly rely on a static architecture and exhibit problems to handle the changes of mobile networks and environmental conditions over time. In this paper, an adaptive monitoring mechanism is presented to overcome these limitations. The mechanism exploits the connectivity and resource characteristics of mobile communication devices to (i) reconfigure its monitoring topology and (ii) adapt to changes of mobile networks and environmental conditions. Through evaluations we show that our proposed solution reduces the achieved relative monitoring error by a factor of six and represents a robust and reliable monitoring mechanism for these challenging environments.

38th Annual IEEE Conference on Local Computer Networks

“…The evaluation of this paper is based on simulations using a modified version of PeerfactSim.KOM [24] for mobile networks [26]. The parameters for the default scenario are listed in Table I.…”

Section: A Simulation Setupmentioning

confidence: 99%

BlockTree: Location-aware decentralized monitoring in mobile ad hoc networks

Stingl

Groß

Nobach

et al. 2013

Self Cite

Mobile ad hoc networks (MANETs) represent a crucial alternative to deploy applications in urban areas. In those networks, it is inevitable that all nodes are aware of the current system state to adapt their behavior according to the varying conditions. However, existing decentralized monitoring solutions for MANETs only locate the required information at a set of nodes, which are in charge of serving the remaining network, while the availability of information depends on the accessibility of those nodes. To avoid these limitations, BlockTree is a novel, fully decentralized monitoring approach for MANETs that leverages each node's resources to capture and distribute the system state to all nodes. Exploiting its hierarchical structure, BlockTree introduces the concept of location-aware monitoring delivering detailed as well as aggregated information. Through robust communication paired with the stateless design, BlockTree provides accurate results in the presence of fast moving nodes or over an error-prone communication medium.