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A Model-based Framework for the Situated Design and Deployment of Wireless Embedded Systems

Published: 06 November 2017 Publication History

Abstract

Cyber-Physical Systems are immersed in an environment in which they are expected to operate reliably. The specificity of the target scenario has, however, a unique impact on the system behaviour that is hard to foresee. Therefore, the deployment of these systems often results in a trial and error task. To address this challenge, we have realised a system design framework based on the ability of modelling the target environment through the fusion of in situ measurements and descriptions, e.g., maps, of the scenario. We demonstrate the ability of our solution to accurately perform the situated analysis of the spatial and temporal characteristics of wireless communication in an indoor testbed.

References

[1]
Sascha Jungen et al. 2017. Situated Wireless Networks Optimisation through Model-based Relocation of Nodes. In Proc. of MASS '17, to appear.
[2]
Luca Mottola et al. 2010. Not All Wireless Sensor Networks Are Created Equal: A Comparative Study on Tunnels. ACM Trans. Sen. Netw. (2010).
[3]
Fredrik Osterlind et al. 2006. Cross-level sensor network simulation with cooja. In Proc. of LCN '06.
[4]
Moritz Strübe et al. 2014. DrySim: simulation-aided deployment-specific tailoring of mote-class WSN software. In Proc. of MSWiM '14.
[5]
Marco Zimmerling et al. 2012. pTunes: runtime parameter adaptation for low-power MAC protocols. In Proc. of IPSN '12.

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cover image ACM Conferences
SenSys '17: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
November 2017
490 pages
ISBN:9781450354592
DOI:10.1145/3131672
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2017

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Author Tags

  1. Deployment Optimisation
  2. Empirical Modelling
  3. Ray Tracing Modelling
  4. Wireless Networks

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Overall Acceptance Rate 198 of 990 submissions, 20%

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