TY - GEN
T1 - Multi-criteria analysis and decision methodology for the selection of Internet-of-Things hardware platforms
AU - Silva, Edgar M.
AU - Jardim-Goncalves, Ricardo
N1 - sem pdf .
European Commission in the scope of FoF/H2020-636909 C2NET.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The Internet-of-Things (IoT) is today a reality, and Smart Systems have taken advantage of this to improve its own sense, act and control capabilities. IoT is a highly heterogeneous environment composed by a vast number of “things” (sensors, smart objects, etc.). These “things” are based on hardware platforms which can differ widely since manufactures are being capable of develop new devices every day to tackle different application domains. Consequently, a problem emerges regarding which will be the suitable, proper hardware solution for an IoT deployment. Make a right decision is probably one of the toughest challenges for science and technology managers. This work proposes a novel methodology to analyze a set of hardware alternatives based on user’s multi-criteria requirements, and advice on the more suitable hardware solution for a specific situation. For proof-of-concept it is used different Arduino boards as hardware alternatives, in which user requirements are based on hardware features. This methodology foresees its use during the development of Smart Systems (e.g.: Transportation, Healthcare) to optimize the selection of hardware platforms.
AB - The Internet-of-Things (IoT) is today a reality, and Smart Systems have taken advantage of this to improve its own sense, act and control capabilities. IoT is a highly heterogeneous environment composed by a vast number of “things” (sensors, smart objects, etc.). These “things” are based on hardware platforms which can differ widely since manufactures are being capable of develop new devices every day to tackle different application domains. Consequently, a problem emerges regarding which will be the suitable, proper hardware solution for an IoT deployment. Make a right decision is probably one of the toughest challenges for science and technology managers. This work proposes a novel methodology to analyze a set of hardware alternatives based on user’s multi-criteria requirements, and advice on the more suitable hardware solution for a specific situation. For proof-of-concept it is used different Arduino boards as hardware alternatives, in which user requirements are based on hardware features. This methodology foresees its use during the development of Smart Systems (e.g.: Transportation, Healthcare) to optimize the selection of hardware platforms.
KW - Analytic Hierarchy Process
KW - Arduino
KW - Decision making
KW - IoT
KW - Smart Systems
UR - http://www.scopus.com/inward/record.url?scp=85018177091&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-56077-9_10
DO - 10.1007/978-3-319-56077-9_10
M3 - Conference contribution
AN - SCOPUS:85018177091
SN - 9783319560762
T3 - IFIP Advances in Information and Communication Technology
SP - 111
EP - 121
BT - Technological Innovation for Smart Systems - 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, Proceedings
PB - Springer New York LLC
T2 - 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017
Y2 - 3 May 2017 through 5 May 2017
ER -