An Efficient Friendship Selection Mechanism for an Individual’s Small World in Social Internet of Things

Rehman, Abdul; Paul, Anand; Rehman, Ateeq Ur; Amin, Farhan; Asif, Rameez; Rahmatov, Nematullo

doi:10.1109/iceet48479.2020.9048234

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…Another approach for enhancing navigability is an enhanced information searching algorithm for SIoT [17] inspired on information searching algorithms from drone networks [18]. Within this context, the authors of [19] investigate the search of suitable friendships and requested services in the SIoT world without human involvement, so typical for an SIoT scenario.…”

Section: Related Workmentioning

confidence: 99%

From Things to Services: A Social IoT Approach for Tourist Service Management

et al. 2020

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In the context of Internet of Things (IoT), the cooperation and synergy between varied and disparate communicating objects is strained by trustworthiness, confidentiality and interoperability concerns. These restrictions can limit the development of IoT-based applications especially considering the emergent boost in the number of communicating objects and their growing itinerant nature in a collective service context. A new perspective arises with the paradigm of Social Internet of Things (SIoT), that relies on the implementation of semi-independent communicating objects with cooperation assessed by social relations and social feedback. In this article, we present the development and expansion of the IoT concept towards SIoT in the context of the interactions between tourist services as communicating objects. As a proof-of-concept we propose a composition of services as virtualized social objects and the interaction between them, by taking into consideration the balance, trustworthiness, cooperation and synergy of services. Furthermore we present a solution to integrate also accessibility in SIoT services. The presented concept is presented using a demonstrator build for tourist services.

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Section: Related Workmentioning

confidence: 99%

From Things to Services: A Social IoT Approach for Tourist Service Management

et al. 2020

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“…have closely connected Web users all over the world. People may participate directly in these networks to exchange ideas, knowledge, experiences and perspectives [1,2]. Moreover, social media users also discover and distribute knowledge in a variety of formats, including text, image, audio and video.…”

Section: Introductionmentioning

confidence: 99%

A Query-Based Greedy Approach for Authentic Influencer Discovery in SIoT

Batool¹,

Rehman²,

Kim³

et al. 2023

Computers, Materials &Amp; Continua

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The authors propose an informed search greedy approach that efficiently identifies the influencer nodes in the social Internet of Things with the ability to provide legitimate information. Primarily, the proposed approach minimizes the network size and eliminates undesirable connections. For that, the proposed approach ranks each of the nodes and prioritizes them to identify an authentic influencer. Therefore, the proposed approach discards the nodes having a rank (α) lesser than 0.5 to reduce the network complexity. α is the variable value represents the rank of each node that varies between 0 to 1. Node with the higher value of α gets the higher priority and vice versa. The threshold value α = 0.5 defined by the authors with respect to their network pruning requirements that can be vary with respect to other research problems. Finally, the algorithm in the proposed approach traverses the trimmed network to identify the authentic node to obtain the desired information. The performance of the proposed method is evaluated in terms of time complexity and accuracy by executing the algorithm on both the original and pruned networks. Experimental results show that the approach identifies authentic influencers on a resultant network in significantly less time than in the original network. Moreover, the accuracy of the proposed approach in identifying the influencer node is significantly higher than that of the original network. Furthermore, the comparison of the proposed approach with the existing approaches demonstrates its efficiency in terms of time consumption and network traversal through the minimum number of hops.

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An Efficient Friendship Selection Mechanism for an Individual’s Small World in Social Internet of Things

Cited by 2 publications

References 34 publications

From Things to Services: A Social IoT Approach for Tourist Service Management

From Things to Services: A Social IoT Approach for Tourist Service Management

A Query-Based Greedy Approach for Authentic Influencer Discovery in SIoT

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