Fog of Social IoT: When the Fog Becomes Social

Baccarelli, Enzo; Scarpiniti, Michele; Naranjo, Paola G. Vinueza; Vaca-Cardenas, Leticia

doi:10.1109/mnet.2018.1700031

Cited by 26 publications

(13 citation statements)

References 15 publications

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“…, is a real-valued nonnegative number to measure the strength of the social tie between and . Therefore, S = { | , > 0 and ∈ N} formally defines the set of the social friends of [4].…”

Section: Fog Controlled Socialmentioning

confidence: 99%

“…However, the social connectivity-based IoT services may cause the cascade effect. Therefore, for effective and efficient SIoT operations, the main objective pursued by the SIoT paradigm is to maximize the social welfare based on the social relations [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Motivated by these complementary features of the SIoT and FC methods, a new paradigm, called Social Fog IoT (SFIoT), has been introduced by integrating the SIoT and FC technologies. The main idea behind the SFIoT paradigm is to embrace the design principles related to both SIoT and FC methods [4].…”

Section: Introductionmentioning

confidence: 99%

“…At the edge of access networks, the cloudlet hosts the thing-to-FC offloading tasks for SFIoT devices. By using the intra-FC resource pooling technique, each cloudlet partitions the available resource for each application type [4]. In the SFIoT system, there are two types of resources: computation and communication.…”

Section: Introductionmentioning

confidence: 99%

“…In the SFIoT vision, individual devices interact according to the peer-to-peer communication model by autonomously building up inter-thing social relationships with respect to their preferences [4]. To improve the total SFIoT system performance, each individual device needs to cooperate with each other.…”

Section: Introductionmentioning

confidence: 99%

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Novel Resource Allocation Algorithms for the Social Internet of Things Based Fog Computing Paradigm

Kim

2019

Wireless Communications and Mobile Computing

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Social Internet of Things (SIoT) is a control paradigm by the integration of social networking concepts into the Internet of Things, and Fog Computing (FC) is an emerging technology that is aimed at moving the cloud computing facilities to the access network. Recently, the SIoT and FC models are combined by using complementary features, and a new Social Fog IoT (SFIoT) paradigm has been developed. In this paper, we design novel resource allocation algorithms for the SFIoT system. Considering the social relationship and each preference, mobile devices in the SFIoT effectively share the limited computation and communication resources of FC operators. To formulate the interaction among mobile devices and FC operator, we adopt the basic concept of two game models: voting and bargaining games. Bicooperative voting approach can make control decisions for the resource allocation method, and Nash bargaining solution is used to effectively distribute the computation resource to different application tasks. Based on the two-phase game model, the proposed scheme takes various benefits in a fair-efficient way. Through the extensive simulation experiments, we can validate the superiority of our proposed approach by the fact that it produces a mutually acceptable agreement among game players and significantly outperforms the existing protocols. Last, we point out the further challenges and future research issues about the SFIoT paradigm opportunities.

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“…, is a real-valued nonnegative number to measure the strength of the social tie between and . Therefore, S = { | , > 0 and ∈ N} formally defines the set of the social friends of [4].…”

Section: Fog Controlled Socialmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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