Spatial awareness in pervasive ecosystems

Simon Andrew Dobson; Mirko Viroli; Jose-Luis Fernandez-Marquez; Franco Zambonelli; Graeme Turnbull Stevenson; Giovanna di Marzo Serugendo; Sara Montagna; Danilo Pianini; Juan Ye; Gabriella Castelli; Alberto Rosi

doi:10.1017/S0269888916000199

Spatial awareness in pervasive ecosystems

Simon Andrew Dobson, Mirko Viroli, Jose-Luis Fernandez-Marquez, Franco Zambonelli, Graeme Turnbull Stevenson, Giovanna di Marzo Serugendo, Sara Montagna, Danilo Pianini, Juan Ye, Gabriella Castelli, Alberto Rosi

School of Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

Pervasive systems are intended to make use of services and components that they encounter in their environment. Such systems are naturally spatial in that they can only be understood in terms of the ways in which components meet and interact in space. Rather than treating spatiality separately from system components, researchers are starting to develop computational models in which the entire structure of a pervasive system is modelled and constructed using an explicit spatial model, supporting multi-level spatial reasoning, and adapting autonomously to spatial interactions. In this paper we review current and emerging models of spatial computing for pervasive ecosystems, and highlight some of the trends that will guide future research.

Original language	English
Pages (from-to)	343-366
Journal	The Knowledge Engineering Review
Volume	31
Issue number	4
Early online date	7 Dec 2016
DOIs	https://doi.org/10.1017/S0269888916000199
Publication status	Published - 7 Dec 2016

Access to Document

10.1017/S0269888916000199

spatial_computing_ker
© 2016, Cambridge University Press. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at www.cambridge.org / https://doi.org/10.1017/S0269888916000199
Accepted author manuscript, 3 MB

EU FP7 'SAPERE' Grant Agreement 256873: EU FP7 - SAPERE Grant Agreement 256873
Dobson, S. A. (PI)
European Commission
1/10/10 → 30/09/13
Project: Standard

Cite this

@article{019590715fc04412863fb89795a976a0,

title = "Spatial awareness in pervasive ecosystems",

abstract = "Pervasive systems are intended to make use of services and components that they encounter in their environment. Such systems are naturally spatial in that they can only be understood in terms of the ways in which components meet and interact in space. Rather than treating spatiality separately from system components, researchers are starting to develop computational models in which the entire structure of a pervasive system is modelled and constructed using an explicit spatial model, supporting multi-level spatial reasoning, and adapting autonomously to spatial interactions. In this paper we review current and emerging models of spatial computing for pervasive ecosystems, and highlight some of the trends that will guide future research.",

author = "Dobson, {Simon Andrew} and Mirko Viroli and Jose-Luis Fernandez-Marquez and Franco Zambonelli and Stevenson, {Graeme Turnbull} and {di Marzo Serugendo}, Giovanna and Sara Montagna and Danilo Pianini and Juan Ye and Gabriella Castelli and Alberto Rosi",

year = "2016",

month = dec,

day = "7",

doi = "10.1017/S0269888916000199",

language = "English",

volume = "31",

pages = "343--366",

journal = "The Knowledge Engineering Review",

issn = "0269-8889",

publisher = "Cambridge University Press",

number = "4",

}

TY - JOUR

T1 - Spatial awareness in pervasive ecosystems

AU - Dobson, Simon Andrew

AU - Viroli, Mirko

AU - Fernandez-Marquez, Jose-Luis

AU - Zambonelli, Franco

AU - Stevenson, Graeme Turnbull

AU - di Marzo Serugendo, Giovanna

AU - Montagna, Sara

AU - Pianini, Danilo

AU - Ye, Juan

AU - Castelli, Gabriella

AU - Rosi, Alberto

PY - 2016/12/7

Y1 - 2016/12/7

N2 - Pervasive systems are intended to make use of services and components that they encounter in their environment. Such systems are naturally spatial in that they can only be understood in terms of the ways in which components meet and interact in space. Rather than treating spatiality separately from system components, researchers are starting to develop computational models in which the entire structure of a pervasive system is modelled and constructed using an explicit spatial model, supporting multi-level spatial reasoning, and adapting autonomously to spatial interactions. In this paper we review current and emerging models of spatial computing for pervasive ecosystems, and highlight some of the trends that will guide future research.

AB - Pervasive systems are intended to make use of services and components that they encounter in their environment. Such systems are naturally spatial in that they can only be understood in terms of the ways in which components meet and interact in space. Rather than treating spatiality separately from system components, researchers are starting to develop computational models in which the entire structure of a pervasive system is modelled and constructed using an explicit spatial model, supporting multi-level spatial reasoning, and adapting autonomously to spatial interactions. In this paper we review current and emerging models of spatial computing for pervasive ecosystems, and highlight some of the trends that will guide future research.

U2 - 10.1017/S0269888916000199

DO - 10.1017/S0269888916000199

M3 - Article

SN - 0269-8889

VL - 31

SP - 343

EP - 366

JO - The Knowledge Engineering Review

JF - The Knowledge Engineering Review

IS - 4

ER -

Spatial awareness in pervasive ecosystems

Abstract

Access to Document

Fingerprint

Projects

EU FP7 'SAPERE' Grant Agreement 256873: EU FP7 - SAPERE Grant Agreement 256873

Cite this