Framework Models for Theme Park Design: Incorporating Transportability Models and Visitor Preferences

Analyzing human movement is crucial for evaluating designs in transportation and urban planning. Our expertise lies in the realm of designing and assessing wireless networks and services tailored for cutting-edge theme park experiences. The effectiveness of specific wireless networks, such as mobile ad hoc networks, is significantly impacted by human mobility. In response to this challenge, we've developed an advanced program known as ParkSim, dedicated to replicating the intricate motion patterns of guests within a theme park environment. ParkSim utilizes an activity-based mobility model, influenced by the diverse activities guests engage in throughout the park. The calibration of this tool is based on GPS data collected from an amusement theme park, ensuring its accuracy and reliability. It has undergone rigorous verification against various performance metrics relevant to wireless ad hoc networks. Our primary goal is to enhance ParkSim further, enabling it to evaluate innovative strategies for equitably distributing visitors across different sections of the theme park. This expansion will provide valuable insights into optimizing wireless network performance and enhancing the overall theme park experience for guests

Improved Mobility Modeling for Indoor Localization Applications

International audienceThis paper presents a novel mobility model to perform realistic simulations of human movements and behaviors. The proposed model is based on discrete event simulation and graph theory. The proposed model is implemented in a wireless propagation simulator and used to evaluate various wireless network protocols including: propagation, localization and communication

Providing producer mobility support in NDN through proactive data replication

Email Print Request Permissions Named Data Networking (NDN) is a novel architecture expected to overcome limitations of the current Internet. User mobility is one of the most relevant limitations to be addressed. NDN supports consumer mobility by design but fails to offer the same level of support for producer mobility. Existing approaches to extend NDN are host-centric, which conflicts with NDN principles, and provide limited support for producer mobility. This paper proposes a content-centric strategy that replicates and pushes objects proactively, and unlike previous approaches, takes full advantage of NDN routing and caching features. We compare the proposed strategy with default NDN mechanisms regarding content availability, consumer performance, and network overhead. The evaluation results indicate that our strategy can increase the hit rate of objects by at least 46% and reduce their retrieval time by over 60%, while not adding significant overhead

Intermittent connection effect in the Message Ferry Delay Tolerant Network

Delay Tolerant Networks (DTN) give a base of communication that permits the delivery of data within harsh environments or even between networks without interconnection. The connection between networks happens when some nodes cross between them and carry information. Our model consists of the Message Ferry Mobility Model (MFMM) where all nodes in the network are confined to their village except one mobile node (the message ferry). In order to reduce the energy consumption the wireless interface is not always on. We aim to study how much does the on/off state of the wireless interface reduces the total connection time available in the MFMM. To answer this question, we created a simulator that uses the MFMM. The simulator generated mobility traces of all nodes and measured the contact time under different patterns of the on/off cycle. As expected the contact time are longer when the interface is active more often. However we found an unanticipated reduction in contact time vs active wireless interface ratio. Hence, we concluded that in the MFMM, the on/off duty-cycle of the wireless interface influences the total contact times

An algorithm to evaluate routing conditions in smartphones-based wireless networks

The increasing penetration of smartphones, i.e., smart devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Opportunistic networking and Content- Based networking strongly rely on the use of such devices. Smartphones tend to have an ON/OFF status that strongly depends on the user activity, mobility pattern and energy saving approach. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the networking device to save energy. The impact on routing of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analyticalmodelbasedon evolving graphs,whichprovides an exhaustive evaluationof routing conditions with the aim to determine the best recurring strategy and parameters when dealing with enddevices that show an ON-OFF behavior. Computational results are given, both on static and dynamic scenarios. 2013 Elsevier Ltd. All rights reserved.This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain, under Grant TIN2011-27543-C03-01.Soler Fernández, D.; Albiach Vicent, J.; Martínez Molada, E.; Manzoni, P. (2013). An algorithm to evaluate routing conditions in smartphones-based wireless networks. Expert Systems with Applications. 40(13):5033-5048. https://doi.org/10.1016/j.eswa.2013.02.035S50335048401

Optimal Pricing Strategy for Wireless Social Community Networks

The increasing number of mobile applications fuels the demand for affordable and ubiquitous wireless access. The traditional wireless network technologies such as EV-DO or WiMAX provide this service but require a huge upfront investment in infrastructure and spectrum. On the contrary, as they do not have to face such an investment, social community operators rely on subscribers who constitute a community of users. The pricing strategy of the provided wireless access is an open problem for this new generation of wireless access providers. In this paper, using both analytical and simulation approaches, we study the problem comprised of modeling user subscription and mobility behavior and of coverage evolution with the objective of finding optimal subscription fees. We compute optimal prices for wireless social community networks with both static and semi-dynamic pricing. Coping with an incomplete knowledge about users, we calculate the best static price and prove that optimal fair pricing is the optimal semi-dynamic pricing for social community operators in monopoly situations. Moreover, we have developed a simulator to verify optimal prices of social community operators with complete and incomplete knowledge. Our simulation results show that the optimal fair pricing strategy significantly improves the cumulative payoff of social community operators

A survey on mobility models for performance analysis in tactical mobile networks, Journal of Telecommunications and Information Technology, 2008, nr 2

In scenarios of military operations and catastrophes – even when there is no infrastructure available or left – there is a need for communication. Due to the specific context the communication systems used in these tactical scenarios need to be as reliable as possible. Thus, the performance of these systems has to be evaluated. Beside field-tests, computer simulations are an interesting alternative concerning costs, scalability, etc. Results of simulative performance evaluation strongly depend on the models used. Since tactical networks consist of, or, at least, contain mobile devices, the mobility model used has a decisive impact. However, in common performance evaluations mainly simple random-based models are used. In the paper we will provide classification and survey of existing mobility models. Furthermore, we will review these models concerning the requirements for tactical scenarios