A proficient heuristic for selecting friends in social Internet of Things

Arjunasamy, Archudha; Ramasamy, Thangarajan

doi:10.1109/isco.2016.7727014

Cited by 10 publications

(9 citation statements)

References 6 publications

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“…The heuristics proposed in earlier research [5,15] are given below. These heuristics try to achieve some sort of tradeoff between several metrics discussed in the above section.…”

Section: Network Navigability In Small-world Networkmentioning

confidence: 99%

“…We carefully performed an analysis by using five rules described in Arjunasamy et al [5] and Nitti et. al.…”

Section: Network Navigability In Small-world Networkmentioning

confidence: 99%

“…Due to technology improvements, attached devices are getting smarter. According to a recent survey, the number of devices connected to the internet will exceed 30 billion by the year 2020 [4,5]. Therefore, searching for a service in IoT devices appears to be a challenge [1].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, searching for a service in IoT devices appears to be a challenge [1]. Since a device can have numerous connections, it therefore requires a large search space in order to find something in the entire network [5]. According to a study by Nitti et al [1], after 2015 the number of radio frequency ID (RFID) devices will reach hundreds of billions, and hence search results will increase network traffic.…”

Section: Introductionmentioning

confidence: 99%

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An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks

Amin

Abbasi

Rehman

et al. 2019

Sensors

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The Internet of Things (IoT) is a recent evolutionary technology that has been the primary focus of researchers for the last two decades. In the IoT, an enormous number of objects are connected together using diverse communications protocols. As a result of this massive object connectivity, a search for the exact service from an object is difficult, and hence the issue of scalability arises. In order to resolve this issue, the idea of integrating the social networking concept into the IoT, generally referred as the Social Internet of Things (SIoT) was introduced. The SIoT is gaining popularity and attracting the attention of the research community due to its flexible and spacious nature. In the SIoT, objects have the ability to find a desired service in a distributed manner by using their neighbors. Although the SIoT technique has been proven to be efficient, heterogeneous devices are growing so exponentially that problems can exist in the search for the right object or service from a huge number of devices. In order to better analyze the performance of services in an SIoT domain, there is a need to impose a certain set of rules on these objects. Our novel contribution in this study is to address the link selection problem in the SIoT by proposing an algorithm that follows the key properties of navigability in small-world networks, such as clustering coefficients, path lengths, and giant components. Our algorithm empowers object navigability in the SIoT by restricting the number of connections for objects, eliminating old links or having fewer connections. We performed an extensive series of experiments by using real network data sets from social networking sites like Brightkite and Facebook. The expected results demonstrate that our algorithm is efficient, especially in terms of reducing path length and increasing the average clustering coefficient. Finally, it reflects overall results in terms of achieving easier network navigation. Our algorithm can easily be applied to a single node or even an entire network.

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“…The heuristics proposed in earlier research [5,15] are given below. These heuristics try to achieve some sort of tradeoff between several metrics discussed in the above section.…”

Section: Network Navigability In Small-world Networkmentioning

confidence: 99%

“…We carefully performed an analysis by using five rules described in Arjunasamy et al [5] and Nitti et. al.…”

Section: Network Navigability In Small-world Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks

Amin

Abbasi

Rehman

et al. 2019

Sensors

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“…The authors devised a friend replacement algorithm for the newly removed friend. A heuristic friend selection algorithm was proposed in Arjunasamy and Ramasamy (). A genetic‐based scheme for friend selection was proposed in Mardini, Khamayseh, BaniYassein, and Khatatbeh (); the proposed scheme achieved better performance against other heuristic schemes.…”

Section: Related Workmentioning

confidence: 99%

Dynamic framework to mining Internet of Things for multimedia services

et al. 2019

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The rapid and unprecedented technological advancements are currently dominated by two technologies. At one hand, we witness the rise of the Internet of Things (IoT) as the next evolution of the Internet. At the other hand, we witness a vast spread of social networks that connects people together socially and opens the door for people to share and express ideas, thoughts, and information. IoT is overpopulated by a vast number of objects, millions of multimedia services, and interactions. Therefore, the search of the right object that can provide the specific multimedia service is considered as an important issue. The merge of these two technologies resulted in new paradigm called Social IoT (SIoT). The main idea in SIoT is that every object can mine IoT in search for certain multimedia service. We investigate the issue of friends' management in SIoT and propose a framework to manage friends' requests. The proposed framework employs several mechanisms to better manage friends' relationships. The proposed framework consists of friend selection, friendship removal, and an update module. It proposes a weight-based algorithm and Naïve Bayes Classifier-based algorithm for the selection component. Moreover, a random service allocation model is proposed to construct service-specific network model. This model is then used in the simulation setup to examine the performance of different friends' management algorithms. The performance of the proposed framework is evaluated using simulation under different scenarios. The obtained simulation results show improvement over other strategies in terms of average degree of connections, average path length, local cluster coefficients, and throughput.

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Security Enhancement of IoT Based Smart Home Using Hybrid Technique

Srivastava

Prakash

2020

Communications in Computer and Information Science

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A proficient heuristic for selecting friends in social Internet of Things

Cited by 10 publications

References 6 publications

An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks

An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks

Dynamic framework to mining Internet of Things for multimedia services

Security Enhancement of IoT Based Smart Home Using Hybrid Technique

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