Speak less, hear enough: On dynamic announcement intervals in wireless on-demand networks

Baumgärtner, Lars; Graubner, Pablo; Höchst, Jonas; Klein, Anja; Freisleben, Bernd

doi:10.1109/wons.2017.7888768

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…In our experiments, a service offer from a worker was set to expire after 120 seconds, as described in Section III-B. Finally, workers announced their capabilities every 2 seconds, since this is the sweet spot announcement interval, as shown by Baumgärtner et al [4].…”

Section: Evaluation a Test Setupmentioning

confidence: 99%

OPPLOAD: Offloading Computational Workflows in Opportunistic Networks

Sterz

Baumgärtner

Höchst

et al. 2019

2019 IEEE 44th Conference on Local Computer Networks (LCN)

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Computation offloading is often used in mobile cloud, edge, and/or fog computing to cope with resource limitations of mobile devices in terms of computational power, storage, and energy. Computation offloading is particularly challenging in situations where network connectivity is intermittent or errorprone. In this paper, we present OPPLOAD, a novel framework for offloading computational workflows in opportunistic networks. The individual tasks forming a workflow can be assigned to particular remote execution platforms (workers) either preselected ahead of time or decided just in time where a matching worker will automatically be assigned for the next task. Tasks are only assigned to capable workers that announce their capabilities. Furthermore, tasks of a workflow can be executed on multiple workers that are automatically selected to balance the load. Our Python implementation of OPPLOAD is publicly available as open source software. The results of our experimental evaluation demonstrate the feasibility of our approach.

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Section: Evaluation a Test Setupmentioning

confidence: 99%

OPPLOAD: Offloading Computational Workflows in Opportunistic Networks

Sterz

Baumgärtner

Höchst

et al. 2019

2019 IEEE 44th Conference on Local Computer Networks (LCN)

Self Cite

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“…To verify the viability of Serval in our disaster scenario, we conducted an in-depth performance analysis of the existing protocol and software [37]. Based on our results, we reduced the protocol overhead by dynamically adjusting the neighbor announcement interval [38] and implemented transparent computation task offloading to preserve local resources [39]. To allow the integration of Serval in UV4EC, we implemented pre-and post-receive message filters as well as content hooks that are triggered when manipulating the data store 12 .…”

Section: Emergency Communicationmentioning

confidence: 99%

Emergency communication in challenged environments via unmanned ground and aerial vehicles

Baumgärtner

Kohlbrecher

Euler

et al. 2017

2017 IEEE Global Humanitarian Technology Conference (GHTC)

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Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are promising assets to support rescue operations in natural or man-made disasters. Most UGVs and UAVs deployed in the field today depend on human operators and reliable network connections to the vehicles. However, network connections in challenged environments are often lost, thus control can no longer be exercised. In this paper, we present a novel approach to emergency communication where semi-autonomous UGVs and UAVs cooperate with humans to dynamically form communication islands and establish communication bridges between these islands. Humans typically form an island with their mobile devices if they are in physical proximity; UGVs and UAVs extend an island's range by carrying data to a neighboring island. The proposed approach uses delay/disruptiontolerant networking for non-time critical tasks and direct mesh connections for prioritized tasks that require real-time feedback. The developed communication platform runs on rescue robots, commodity mobile devices, and various drones, and supports our operations and control center software for disaster management.

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