Graduate School and Research Center in Digital Sciences

Fuzzy based prediction schema framework for IoT based indoor environmental monitoring

Perumal, Thinagaran; Datta, Soumya Kanti; Ramachandran,T; Leong, Chui Yew; Bonnet, Christian

ICCE 2018, 2018 IEEE International Conference on Consumer Electronics, January 12-14, 2018, Las Vegas, NV, USA

In recent times, rapid introduction of the Internet of Things (IoT) services in smart environment domain has happened. This has introduced heterogeneous device and data types that lack proper mechanism for joint execution of tasks from an application perspective. In this paper, we propose an integrated indoor environmental monitoring system implemented with a novel IoT framework. It is enabled via fuzzy-based rule schema to resolve the heterogeneity of environmental data in smart home environment. The novel aspect of the framework is that it is developed with a modular repository together with decision-making modules. Our experiments prove this approach to be a viable IoT solution for smart home indoor environment.

Document Doi Bibtex

Title:Fuzzy based prediction schema framework for IoT based indoor environmental monitoring
City:Las Vegas
Department:Communication systems
Eurecom ref:5513
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Bibtex: @inproceedings{EURECOM+5513, doi = {}, year = {2018}, title = {{F}uzzy based prediction schema framework for {I}o{T} based indoor environmental monitoring}, author = {{P}erumal, {T}hinagaran and {D}atta, {S}oumya {K}anti and {R}amachandran,{T} and {L}eong, {C}hui {Y}ew and {B}onnet, {C}hristian}, booktitle = {{ICCE} 2018, 2018 {IEEE} {I}nternational {C}onference on {C}onsumer {E}lectronics, {J}anuary 12-14, 2018, {L}as {V}egas, {NV}, {USA}}, address = {{L}as {V}egas, {UNITED} {STATES}}, month = {01}, url = {} }
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