Graph modelling of Social Internet of Things (S-IoT) centered home automation using medium domination approach
Résumé
Preceding years predict IoT to be trend in technology domain as it possesses superior intelligence and methods to access data as well able to construct networks anywhere which we are witnessing today. Today IoT devices are well implemented and are a topic and product of interest for many. In midst of this S-IoT emerged which is understood as the added ingredient in IoT networks enables improvement in accessing data, its procession, real-time decisions, and many more new functions and all of this with an ideal price [1]. S-IoT led to the interesting development of enabling the Internet of things to be socially connected in a network with each other which permits them to socially interact with each other and have their respective profiles for their identification all similar to humans. This magical innovation-led internet networks to be more complicated. In this paper, we are modeling objects of S-Iot centered homes as network graphs with a medium domination number approach. The key notion here is to inspect the total number of objects connected that dominate every pair of objects in a network graph and the average value of this is defined as “the medium domination number”. We evaluated new results and relations along with further vulnerability methods and developed an algorithm of complexity O(n 2).
Téléchargements
Références
D. Dutta, C. Tazivazvino, S. Das and B.K. Tripathy, Social Internet of Things (SIoT): Transforming smart object to ocial object, (2015).
J. Shafi, A. Waheed and P. V. Krishna, Investigating Recommender Systems in OSNs. In: Social Network Forensics, Cyber Security, and Machine Learning. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore, (2019). https://doi.org/10.1007/978-981-13-1456-8_3
A. Ciortea, O. Boissier, A. Zimmermann and A. M. Florea, "Reconsidering the social web of things," position paper. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp '13 Adjunct), (2013). https://doi.org/10.1145/2494091.2497587
A. Kamilaris, D. Papadiomidous and A. Pitsillides, "Lessons Learned from Online Social Networking of Physical Things," 2011 International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), pp.128,135, 26-28 Oct.2011 https://doi.org/10.1109/BWCCA.2011.24
T. Y. Chung, I. Mashal, O. Alsaryrah, V. Huy, W.-H. Kuo and D. P. Agrawal, Social Web of Things: A Survey, 19th IEEE International Conference on Parallel and Distributed Systems, DOI:10.1109/icpads.2013.102, (2013). https://doi.org/10.1109/ICPADS.2013.102
D. Vargor and P. Dundar, The medium domination number of a graph, International Journal of Pure and Applied Mathematics, 70(3), 297-306, (2011).
L. Atzori, A. Iera and G. Morabito, SIoT: Giving a Social Structure to the Internet of Things, IEEE Communications Letters, 15(11), 1193-1195, (2011). https://doi.org/10.1109/LCOMM.2011.090911.111340
J. Shafi and A. Waheed, "SIoT: A new platform for Online Social Networks Using IoT," 1st International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, 2018, pp. 1-6. https://doi.org/10.1109/CAIS.2018.8441970
N. B. Ellison, "Social network sites: Definition, history, and scholarship," Journal of Computer Mediated Communication, 13(1), 210-230, (2007). https://doi.org/10.1111/j.1083-6101.2007.00393.x
K. Musia and P. Kazienko, "Social networks on the internet," World Wide Web 16.1, 31-72, (2013). https://doi.org/10.1007/s11280-011-0155-z
F. Buckley and F. Harary, Distance in Graphs, Addison Wesley Pub. California, (1990).
P. D¨undar and N. Tackın, Domination and Total Domination Number of Graphs, Master Thesis, Faculty of Science, Ege University (2006).
Copyright (c) 2022 Boletim da Sociedade Paranaense de Matemática
Ce travail est disponible sous la licence Creative Commons Attribution 4.0 International .
When the manuscript is accepted for publication, the authors agree automatically to transfer the copyright to the (SPM).
The journal utilize the Creative Common Attribution (CC-BY 4.0).
