TY - GEN
T1 - Discovering good links between objects in the internet of things
AU - Buccafurri, Francesco
AU - Lax, Gianluca
AU - Nicolazzo, Serena
AU - Nocera, Antonino
AU - Console, Luca
AU - Matassa, Assunta
N1 - Publisher Copyright:
Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2017
Y1 - 2017
N2 - The Internet of Things is an emerging paradigm allowing the control of the physical world via the Internet protocol and both human-to-machine and machine-to-machine communication. In this scenario, one of the most challenging issues is how to choose links among objects in order to guarantee an effective access to services and data. In this paper, we present a new selection criterion that improves the classical approach. To reach this goal, we extract knowledge coming from the social network of humans, as owners of objects, and we exploit a recently proven property called interest assortativity. The preliminary experimental results reported in this paper give a first evidence of the effectiveness of our approach, which performs better than classical strategies. This is achieved by choosing only not redundant links in such a way that network connectivity is preserved and power consumption is reduced.
AB - The Internet of Things is an emerging paradigm allowing the control of the physical world via the Internet protocol and both human-to-machine and machine-to-machine communication. In this scenario, one of the most challenging issues is how to choose links among objects in order to guarantee an effective access to services and data. In this paper, we present a new selection criterion that improves the classical approach. To reach this goal, we extract knowledge coming from the social network of humans, as owners of objects, and we exploit a recently proven property called interest assortativity. The preliminary experimental results reported in this paper give a first evidence of the effectiveness of our approach, which performs better than classical strategies. This is achieved by choosing only not redundant links in such a way that network connectivity is preserved and power consumption is reduced.
KW - Assortativity
KW - Internet of Things
KW - Network Efficiency
KW - Twitter
UR - https://www.scopus.com/pages/publications/85029420110
U2 - 10.5220/0006475601020107
DO - 10.5220/0006475601020107
M3 - Conference contribution
AN - SCOPUS:85029420110
T3 - ICETE 2017 - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications
SP - 102
EP - 107
BT - WINSYS
A2 - Lorenz, Pascal
A2 - Obaidat, Mohammad S.
A2 - Cabello, Enrique
PB - SciTePress
T2 - 14th International Joint Conference on e-Business and Telecommunications, ICETE 2017
Y2 - 24 July 2017 through 26 July 2017
ER -