BonnMotion: a mobility scenario generation and analysis tool

Aschenbruck, Nils; Ernst, Raphael; Gerhards-Padilla, Elmar; Schwamborn, Matthias

doi:10.4108/icst.simutools2010.8684

Cited by 379 publications

(172 citation statements)

References 49 publications

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“…The scenario consists of a group of people (we are considering two rescuers in this work) moving in/out an office inside a building following a disaster mobility pattern generated by Bonnmotion [38], which is a mobility scenario generation and analysis tool. Each WBAN consists of an android mobile node collecting live data from on-body Shimmer [39] sensors as depicted in Figure 5b.…”

Section: Real Indoor Experiments Scenario: a Wireless Body-to-body Conmentioning

confidence: 99%

Communication Challenges in on-Body and Body-to-Body Wearable Wireless Networks—A Connectivity Perspective

et al. 2017

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Wearable wireless networks (WWNs) offer innovative ways to connect humans and/or objects anywhere, anytime, within an infinite variety of applications. WWNs include three levels of communications: on-body, body-to-body and off-body communication. Successful communication in on-body and body-to-body networks is often challenging due to ultra-low power consumption, processing and storage capabilities, which have a significant impact on the achievable throughput and packet reception ratio as well as latency. Consequently, all these factors make it difficult to opt for an appropriate technology to optimize communication performance, which predominantly depends on the given application. In particular, this work emphasizes the impact of coarse-grain factors (such as dynamic and diverse mobility, radio-link and signal propagation, interference management, data dissemination schemes, and routing approaches) directly affecting the communication performance in WWNs. Experiments have been performed on a real testbed to investigate the connectivity behavior on two wireless communication levels: on-body and body-to-body. It is concluded that by considering the impact of above-mentioned factors, the general perception of using specific technologies may not be correct. Indeed, for on-body communication, by using the IEEE 802.15.6 standard (which is specifically designed for on-body communication), it is observed that while operating at low transmission power under realistic conditions, the connectivity can be significantly low, thus, the transmission power has to be tuned carefully. Similarly, for body-to-body communication in an indoor environment, WiFi IEEE 802.11n also has a high threshold of end-to-end disconnections beyond two hops (approximatively 25 m). Therefore, these facts promote the use of novel technologies such as 802.11ac, NarrowBand-IoT (NB-IoT) etc. as possible candidates for body-to-body communications as a part of the Internet of humans concept.

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Section: Real Indoor Experiments Scenario: a Wireless Body-to-body Conmentioning

confidence: 99%

Communication Challenges in on-Body and Body-to-Body Wearable Wireless Networks—A Connectivity Perspective

et al. 2017

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“…Reference Point Group Mobility Model (RPGM) (Jayakumar and Ganapathi, 2008;Aschenbruck et al, 2010) is a popular mobility model that has been the focus of many recent studies. RPGM employs group behaviour to simulate the nodes mobility, where nodes move in groups.…”

Section: Reference Point Group Mobility Modelmentioning

confidence: 99%

“…The topology scenario describes the distribution of nodes over the simulation area and their movement during the simulation time, while the traffic scenario generates the data traffic between nodes. The topology scenarios were generated with the assistance of Bonnmotion tool (Aschenbruck et al, 2010), to create VANET scenarios with group mobility. The scenarios are characterized by the following: Mobility model, number of nodes, average node speed, simulation area and simulation time.…”

Section: Simulation Modelmentioning

confidence: 99%

Routing and the Impact of Group Mobility Model in VANETs

Al‐Qassas¹

2016

Journal of Computer Science

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Group vehicular applications could play a vital role in our life, whether these applications are safety-oriented or convenience-oriented applications. The group concept has also been used in support of many solutions in VANETs. Reference Point Group Mobility model (RPGM) is a popular group mobility model and has been used heavily in the literature. In order to study the impact of this mobility model on routing in VANETs, two well-known protocols are considered, namely AODV and AOMDV, as representatives of single-path and multipath routing, respectively. These protocols have shown performance merits over other routing protocols and they have a vital role in other wireless networks including MANETs and Wireless Mesh Networks. This paper provides a thorough evaluation of these protocols, by examining them under various potential realistic scenarios, under the RPGM mobility model. To the best of knowledge, this is the first study that examines the behaviour of the two protocols under the RPGM mobility model. The results from extensive simulations have shown that both protocols have comparable performance merits when the number of communicating nodes is low. However, increasing the number of communicating nodes has demonstrated a performance advantage for AOMDV, in the majority of the performance metrics used in the paper.

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“…Simulations considers 35 survivor-nodes. BonnMotion mobility generator was used to generate the nodes movement specific for disaster scenarios [9]. Simulation scenarios consider 7 incident locations (e.g.…”

Section: Example Of Motivationmentioning

confidence: 99%

Opportunistic disaster recovery

Mezghani

Mitton

2018

Internet Technology Letters

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Abstract-Disaster scenarios require different recovery solutions such as evacuation guidance, to perform the right action for wounded persons and efficiency diffuse useful alert for locating trapped survivors. These latter are constrained mainly by the infrastructure-less environment caused by the disaster damage (e.g. storm, earthquake). Exploiting opportunistic communications to design recovery solutions presents a promising solution. However, several constraints are encountered, mainly, the multinetwork assortment integrated in mobile equipment and the limited and various battery powers of mobile devices. This work presents a cooperative-based solution, COPE, that exploits the multi-network feature of mobile devices and takes the various power levels into account. COPE allows the coverage of a large area for a longer time while guaranteeing an important alert delivery.

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BonnMotion: a mobility scenario generation and analysis tool

Cited by 379 publications

References 49 publications

Communication Challenges in on-Body and Body-to-Body Wearable Wireless Networks—A Connectivity Perspective

Communication Challenges in on-Body and Body-to-Body Wearable Wireless Networks—A Connectivity Perspective

Routing and the Impact of Group Mobility Model in VANETs

Opportunistic disaster recovery

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