Nguyen, The An Binh and Richerzhagen, Björn and Klose, Christian and Steinmetz, Ralf and Meurisch, Christian and Lampe, Patrick (2020):
Enabling In-Network Processing utilizing Nearby Device-to-Device Communication.
In: IFIP Networking 2018 Proceedings Annex: Demonstration and Poster Session [7 Demos], pp. A1-A16,
2018 IFIP Networking Conference (IFIP Networking) and Workshops, Zurich, Switzerland, 14-16 May 2018, ISBN 978-3-903176-08-9,
DOI: 10.23919/IFIPNetworking.2018.8696465,
[Conference or Workshop Item]

Abstract

In disaster situations, relief work can be enhanced and facilitated by acquiring and processing distributed informa- tion. However, the communication and computation infrastruc- tures might be impaired or inaccessible in emergency response scenarios. Consequently, approaches for coordination, and re- source utilization are still challenging. To this end, we proposed the concept of an adaptive task-oriented message template (ATMT), that bundles the control information and the payload data, re- quired to process and extract information, into a single message. Thus, an ATMT enables distributed in-network processing of complex tasks, allows to leverage the idle resources of mobile devices of the first responders. In this paper, we demonstrate the use of the ATMT concept in an example of face detection, which can be used to offer Person Finder similar services in an emergency ad hoc network. We utilize Google Nearby peer- to-peer networking API, standard and available on Android- based devices, to realize the handover of an ATMT message between mobile devices. This successful integration underpins the prospective adoption of the ATMT concept.

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