Blockchain framework for IoT data quality via edge computing

Smart home presents a challenge in control and monitoring of its wireless sensors networks (WSN) and the internet of things (IoT) devices which form it. The current IoT architectures are centralized, complex, with poor security in its communications and with upstream communication channels mainly. As a result, there are problems with data reliability. These problems include data missing, malicious data inserted, communications network overload, and overload of computing power at the central node. In this paper a new architecture is presented. This architecture based in blockchain introduce the edge computing layer and a new algorithm to improve data quality and false data detection.

[1]  Javier Bajo,et al.  Multi-Agent Information Fusion System to manage data from a WSN in a residential home , 2015, Inf. Fusion.

[2]  Juan M. Corchado,et al.  Integrating hardware agents into an enhanced multi-agent architecture for Ambient Intelligence systems , 2013, Inf. Sci..

[3]  Douglas C. Schmidt,et al.  PlaTIBART: a platform for transactive IoT blockchain applications with repeatable testing , 2017, M4IoT '17.

[4]  PRADIP KUMAR SHARMA,et al.  A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT , 2018, IEEE Access.

[5]  Punyasha Chatterjee,et al.  Energy-Efficient Connected Target Coverage in Multi-hop Wireless Sensor Networks , 2018 .

[6]  Jean-Luc Baril,et al.  Blockchain based trust & authentication for decentralized sensor networks , 2017, ArXiv.

[7]  Jianli Pan,et al.  Cybersecurity Challenges and Opportunities in the New "Edge Computing + IoT" World , 2018, SDN-NFV@CODASPY.

[8]  Juan M. Corchado,et al.  A game theory approach for cooperative control to improve data quality and false data detection in WSN , 2018, International Journal of Robust and Nonlinear Control.

[9]  Juan M. Corchado,et al.  A composite routing metric for wireless sensor networks in AAL-IoT , 2016, 2016 9th IFIP Wireless and Mobile Networking Conference (WMNC).

[10]  Demetrio A. Ovalle,et al.  Multi-agent system for Knowledge-based recommendation of Learning Objects , 2015, DCAI 2015.

[11]  Juan M. Corchado,et al.  How Blockchain Could Improve Fraud Detection in Power Distribution Grid , 2018, SOCO-CISIS-ICEUTE.

[12]  Leonor Becerra-Bonache,et al.  Linguistic models at the crossroads of agents, learning and formal languages , 2014, DCAI 2014.

[13]  Praveen Gauravaram,et al.  Blockchain for IoT security and privacy: The case study of a smart home , 2017, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

[14]  Bhaskar Krishnamachari,et al.  SmartEdge: A Smart Contract for Edge Computing , 2018, 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

[15]  Vasily Kupriyanovsky,et al.  Smart container, smart port, BIM, Internet Things and blockchain in the digital system of world trade , 2018 .

[16]  Haibin Ling,et al.  Multi-Level Contextual RNNs With Attention Model for Scene Labeling , 2016, IEEE Transactions on Intelligent Transportation Systems.

[17]  Yu-Chee Tseng,et al.  A Survey of Solutions for the Coverage Problems in Wireless Sensor Networks , 2005 .

[18]  Rafael H. Bordini,et al.  A Multi-Agent Extension of a Hierarchical Task Network Planning Formalism , 2017, DCAI 2017.

[19]  Juan M. Corchado,et al.  Smart Contract for Monitoring and Control of Logistics Activities: Pharmaceutical Utilities Case Study , 2018, SOCO-CISIS-ICEUTE.

[20]  Juan M. Corchado,et al.  A generalized framework for wireless localization in gerontechnology , 2017, 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB).

[21]  Andreas M. Antonopoulos,et al.  Mastering Bitcoin: Unlocking Digital Crypto-Currencies , 2014 .

[22]  Dimitrios Gunopulos,et al.  Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.

[23]  Satoshi Nakamoto.  Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[24]  Sebastian Lehnhoff,et al.  Decentralized Coalition Formation with Agent-based Combinatorial Heuristics , 2017, DCAI 2017.

[25]  Juan M. Corchado,et al.  Fusion system based on multi-agent systems to merge data from WSN , 2014, 17th International Conference on Information Fusion (FUSION).

[26]  Roberto Casado-Vara,et al.  Blockchain for Democratic Voting: How Blockchain Could Cast off Voter Fraud , 2018 .

[27]  Sara Rodríguez,et al.  A Hash Based Image Matching Algorithm for Social Networks , 2017, PAAMS.

[28]  Thomas Kunz,et al.  Operating Systems for Wireless Sensor Networks: A Survey , 2011, Sensors.

[29]  Soohyung Kim,et al.  Managing IoT devices using blockchain platform , 2017, 2017 19th International Conference on Advanced Communication Technology (ICACT).