International Journal of Advanced Technology and Engineering Exploration (IJATEE) ISSN (P): 2394-5443 ISSN (O): 2394-7454 Vol - 8, Issue - 75, February 2021
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Uncertainty in internet of things: a review

Nur Liesa Mohammad Azemi and Norfaradilla Wahid

Abstract

This paper discusses the issue of uncertainty that occurs in the Internet of Things (IoT) environment. The main operation of IoT includes data transmission over sensors and networks via the Internet. There are three types of heterogeneity; namely heterogeneity of data, devices, and networks, which may be the causes that trigger uncertainty in this environment. Based on the study, there are three uncertainty levels that can occur, which are uncertain schema mapping, uncertain data, and uncertain query. As an example, heterogeneous devices which are not compatible with IoT applications will create an opportunity for uncertain data where the data transmitted from the sensor to the application may be partially missing. System failure is likely to happen when these sources of uncertainty generate incorrect inferences and conclusions, thus producing unreliable information. This paper reviews previous researches to find the most efficient approach to handle uncertainty. Discussion is centred on the efficiencies and drawbacks of different uncertainty handling approaches in different domains of knowledge related to IoT while the most relevant of the works are addressed in detail.

Keyword

Heterogeneity, Integration, Internet of things, Uncertainty.

Cite this article

Azemi NL, Wahid N

Refference

[1][1]Derrien S, Meye P, Raıpin P. Thing in, a research platform for the Web of Things. In 27th international symposium on modeling, analysis, and simulation of computer and telecommunication systems 2019 (pp. 431-2). IEEE.

[2][2]Gyrard A, Bonnet C, Boudaoud K, Serrano M. Assisting iot projects and developers in designing interoperable semantic web of things applications. In international conference on data science and data intensive systems 2015 (pp. 659-66). IEEE.

[3][3]Zhao W, Jiang H, Tang K, Pei W, Wu Y, Qayoom A. Knotted-line: a visual explorer for uncertainty in transportation system. Journal of Computer Languages. 2019; 53:1-8.

[4][4]Knight FH. Risk, uncertainty and profit. Houghton Mifflin; 1921.

[5][5]Gal A, Roitman H, Shraga R. Learning to rerank schema matches. IEEE Transactions on Knowledge and Data Engineering. 2019:1-14.

[6][6]Hariri RH, Fredericks EM, Bowers KM. Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data. 2019; 6(1):1-6.

[7][7]Alagar V, Wan K. Understanding and measuring risk due to uncertainties in IoT. In international conference on smart internet of things 2019 (pp. 484-8). IEEE.

[8][8]Ba ML, Montenez S, Tang R, Abdessalem T. Integration of web sources under uncertainty and dependencies using probabilistic XML. In international conference on database systems for advanced applications 2014 (pp. 360-75). Springer, Berlin, Heidelberg.

[9][9]Mishra J, Ghosh S. Uncertain query processing using vague set or fuzzy set: which one is better? International Journal of Computers Communications & Control. 2014; 9(6):730-40.

[10][10]Díaz M, Martín C, Rubio B. State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing. Journal of Network and Computer Applications. 2016; 67:99-117.

[11][11]Magruk A. The most important aspects of uncertainty in the internet of things field–context of smart buildings. Procedia Engineering. 2015; 122:220-7.

[12][12]Assoudi H, Lounis H. Coping with uncertainty in schema matching: Bayesian networks and agent-based modeling approach. In international conference on e-technologies 2015 (pp. 53-67). Springer, Cham.

[13][13]Zhang CJ, Chen L, Jagadish HV, Zhang M, Tong Y. Reducing uncertainty of schema matching via crowdsourcing with accuracy rates. IEEE Transactions on Knowledge and Data Engineering. 2018; 32(1):135-51.

[14][14]Boulaares S, Omri A, Sassi S, Benslimane D. A probabilistic approach: a model for the uncertain representation and navigation of uncertain web resources. In international conference on signal-image technology & internet-based systems 2018 (pp. 24-31). IEEE.

[15][15]Magruk A. Uncertainty in the sphere of the industry 4.0–potential areas to research. Business, Management and Education. 2016; 14(2):275-91.

[16][16]Ning C, You F. Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming. Computers & Chemical Engineering. 2019; 125:434-48.

[17][17]Tchernykh A, Schwiegelsohn U, Talbi EG, Babenko M. Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability. Journal of Computational Science. 2019; 36:1-9.

[18][18]Kale SS, Patil PS. Data mining technology with fuzzy logic, neural networks and machine learning for agriculture. In data management, analytics and innovation 2019 (pp. 79-87). Springer, Singapore.

[19][19]Zhou Z, Liao H, Zhao X, Ai B, Guizani M. Reliable task offloading for vehicular fog computing under information asymmetry and information uncertainty. IEEE Transactions on Vehicular Technology. 2019; 68(9):8322-35.

[20][20]Atzori L, Iera A, Morabito G. The internet of things: a survey. Computer Networks. 2010; 54(15):2787-805.

[21][21]Zhang X, Deng Z, Parvinzamir F, Dong F. MyHealthAvatar lifestyle management support for cancer patients. Ecancermedicalscience. 2018; 12:1-17.

[22][22]Arfaoui A, Kribeche A, Senouci SM. Context-aware anonymous authentication protocols in the internet of things dedicated to e-health applications. Computer Networks. 2019; 159:23-36.

[23][23]Bellagente P, Depari A, Ferrari P, Flammini A, Sisinni E, Rinaldi S. M 3 IoT—message-oriented middleware for M-health internet of things: design and validation. In international instrumentation and measurement technology conference 2018 (pp. 1-6). IEEE.

[24][24]Qi J, Yang P, Min G, Amft O, Dong F, Xu L. Advanced internet of things for personalised healthcare systems: a survey. Pervasive and Mobile Computing. 2017; 41:132-49.

[25][25]Hamidouche L, Sens P, Monnet S, Refauvelet D. Toward heterogeneity-aware device-to-device data dissemination over Wi-Fi networks. In international conference on parallel and distributed systems 2017 (pp. 105-12). IEEE.

[26][26]Jabbar S, Ullah F, Khalid S, Khan M, Han K. Semantic interoperability in heterogeneous IoT infrastructure for healthcare. Wireless Communications and Mobile Computing. 2017; 2017:1-11.

[27][27]Piasco N, Sidibé D, Demonceaux C, Gouet-Brunet V. A survey on visual-based localization: On the benefit of heterogeneous data. Pattern Recognition. 2018; 74:90-109.

[28][28]Fortino G, Savaglio C, Palau CE, De Puga JS, Ganzha M, Paprzycki M, et al. Towards multi-layer interoperability of heterogeneous IoT platforms: The INTER-IoT approach. In integration, interconnection, and interoperability of IoT systems 2018 (pp. 199-232). Springer, Cham.

[29][29]Li S, Da Xu L, Zhao S. 5G Internet of things: a survey. Journal of Industrial Information Integration. 2018; 10:1-9.

[30][30]Yaqoob I, Hashem IA, Ahmed A, Kazmi SA, Hong CS. Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Future Generation Computer Systems. 2019; 92:265-75.

[31][31]Kazmi A, Jan Z, Zappa A, Serrano M. Overcoming the heterogeneity in the internet of things for smart cities. In international workshop on interoperability and open-source solutions 2016 (pp. 20-35). Springer, Cham.

[32][32]Fang Z, Zhang F, Zhang D. Fine-grained travel time sensing in heterogeneous mobile networks. In proceedings of the 17th conference on embedded networked sensor systems 2019 (pp. 420-1).

[33][33]Delphinanto A, Koonen T, Den Hartog F. End-to-end available bandwidth probing in heterogeneous IP home networks. In consumer communications and networking conference 2011 (pp. 431-5). IEEE.

[34][34]Islam SR, Kwak D, Kabir MH, Hossain M, Kwak KS. The internet of things for health care: a comprehensive survey. IEEE Access. 2015; 3:678-708.

[35][35]Zhang K, Wang J, Wang M, Han X. Probabilistic skyline computation on vertically distributed uncertain data. In 39th international conference on distributed computing systems (ICDCS) 2019 (pp. 154-63). IEEE.

[36][36]Elkhodr M, Shahrestani S, Cheung H. The internet of things: new interoperability, management and security challenges. arXiv preprint arXiv:1604.04824. 2016.

[37][37]Botta A, De Donato W, Persico V, Pescapé A. Integration of cloud computing and internet of things: a survey. Future Generation Computer Systems. 2016; 56:684-700.

[38][38]Atlam HF, Alenezi A, Alharthi A, Walters RJ, Wills GB. Integration of cloud computing with internet of things: challenges and open issues. In 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) 2017 (pp. 670-5). IEEE.

[39][39]Stergiou C, Psannis KE, Kim BG, Gupta B. Secure integration of IoT and cloud computing. Future Generation Computer Systems. 2018; 78:964-75.

[40][40]Alavi AH, Jiao P, Buttlar WG, Lajnef N. Internet of things-enabled smart cities: state-of-the-art and future trends. Measurement. 2018; 129:589-606.

[41][41]Zhou Z, Guo Y, He Y, Zhao X, Bazzi WM. Access control and resource allocation for M2M communications in industrial automation. IEEE Transactions on Industrial Informatics. 2019; 15(5):3093-103.

[42][42]Lv T, Ma Y, Zeng J, Mathiopoulos PT. Millimeter-wave NOMA transmission in cellular M2M communications for internet of things. IEEE Internet of Things Journal. 2018; 5(3):1989-2000.