Propagation- and Mobility-Aware D2D Social Content Replication

Wang, Zhi; Sun, Lifeng; Zhang, Miao; Pang, Haitian; Tian, Erfang; Zhu, Wenwu

doi:10.1109/tmc.2016.2582159

Cited by 32 publications

(37 citation statements)

References 37 publications

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“…The content transmission through social network has significantly challenged the tradition data transmission paradigm due to limited bandwidth and storage capacities. For this reason, Wang et al [190] observed that the mobility patterns and social content transmission affected the replication of the content transmission, users' movements across the region, and the discovery of neighboring peers. They utilized the distributed algorithm for historical, local and partial information of the users to solve the replication scheduling.…”

Section: E Mobility-aware D2d Content Disseminationmentioning

confidence: 99%

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

Waqas

Niu

et al. 2020

IEEE Commun. Surv. Tutorials

112

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Device-to-device (D2D) communication proposes a new epitome in mobile networking to avail data exchange between physically proximate devices. The exploitation of D2D communication enables mobile operators to harvest short range communications for improving network performance and corroborating proximity-based services. In this article, we investigate mobility aspects of D2D communication, which are indispensable for the adoption and implementation of D2D communication technology. We present an extensive review of the state-of-theart problems and the corresponding solutions for encouraging the exploitation of mobility to assist D2D communication. Specifically, by identifying the mobility models, traces, problems, requirements, and features of different proposals, we discuss the lessons learned and summarize the advantages of mobility-aware D2D communication. We also present open problems and highlight future research directions concerning D2D communication applications in real-life scenarios. To the best of our knowledge, this is the first comprehensive survey to address mobility-aware D2D communication, which offers insight to the underlying problems and provides the potential solutions. Index Terms-Device-to-device communication, mobility, mobile communication, mobile data traffic. I. INTRODUCTION D EVICE-to-device (D2D) communication takes the advantage of opportunistic encounters by mobile users with each other [1]. These opportunistic encounters' information between users are highly related to their movement. By exploiting users' movement, D2D enabled applications and services visualize highly opportunistic and unpredictable human mobility. Therefore, the challenges of exploiting mobility resides in the inherent complexity of users' mobility. It is mainly concerns with predicting the establishment of communication links among D2D users. For instance, two mobile users can establish a link at the time when they are in close proximity to each other. However, there are two key questions have to M.

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Section: E Mobility-aware D2d Content Disseminationmentioning

confidence: 99%

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

Waqas

Niu

et al. 2020

IEEE Commun. Surv. Tutorials

112

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“…The mechanism we propose enhances classic trust models through the exploitation of social relationships among the involved devices (to improve device reliability) and of recommendation exchange (to the purpose of reputation definition). Socially-aware D2D communications have attracted high interest in recent research activity, such as for instance in [19][20][21][22]. With respect to the works in the literature, we consider the potential of the SIoT model defined in [23], to embrace the social networking concepts and build trustworthy relationships among devices [24,25].…”

Section: Related Workmentioning

confidence: 99%

NB-IoT for D2D-Enhanced Content Uploading with Social Trustworthiness in 5G Systems †

et al. 2017

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Future fifth-generation (5G) cellular systems are set to give a strong boost to the large-scale deployment of Internet of things (IoT). In the view of a future converged 5G-IoT infrastructure, cellular IoT solutions such as narrowband IoT (NB-IoT) and device-to-device (D2D) communications are key technologies for supporting IoT scenarios and applications. However, some open issues still need careful investigation. An example is the risk of threats to privacy and security when IoT mobile services rely on D2D communications. To guarantee efficient and secure connections to IoT services involving exchange of sensitive data, reputation-based mechanisms to identify and avoid malicious devices are fast gaining ground. In order to tackle the presence of malicious nodes in the network, this paper introduces reliability and reputation notions to model the level of trust among devices engaged in an opportunistic hop-by-hop D2D-based content uploading scheme. To this end, social awareness of devices is considered as a means to enhance the identification of trustworthy nodes. A performance evaluation study shows that the negative effects due to malicious nodes can be drastically reduced by adopting the proposed solution. The performance metrics that proved to benefit from the proposed solution are data loss, energy consumption, and content uploading time.

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“…Social networking applications, such as Facebook, Twitter, Flickr, Instagram or LinkedIn, where some form of geo-tagging is present [30], [40], social 152 networks for mobile navigated tourism [31], estimating the economic well-being [8], or monitoring user activity on social networks [23], [4]; 3)…”

Section: )mentioning

confidence: 99%

A survey of people movement analytics studies in the context of smart cities

Lohan

Kauppinen

Debnath

2016

2016 19th Conference of Open Innovations Association (FRUCT)

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With the advent of the newest emergency call mandates in US and Europe, with the advances in cellular-based and WiFi-based localization solutions, and with the developments of cloud computing and web-based social networks, the location information and movement-related data is becoming easier and easier to collect from the user mobile devices and from the user cloud data and it is more and more used in a variety of Location Based Services and for various network planning and management tasks. The last decade has seen significant research efforts dedicated to analyze the user location and movement data, to extract mobility patterns and features and to use the predicted patterns for a more efficient resource allocation and for better location-based services. In the context of what is called today 'the smart city', user mobility and location data are becoming key components of the smart city architecture and applications. The goal of this paper is to give a compact and comprehensive overview of the challenges and solutions related to collecting, storing, analyzing, visualizing, using or distributing people's movement data and to summarize the purposes of such data in the context of the smart cities and the Internet of Things.

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Propagation- and Mobility-Aware D2D Social Content Replication

Cited by 32 publications

References 37 publications

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges

NB-IoT for D2D-Enhanced Content Uploading with Social Trustworthiness in 5G Systems †

A survey of people movement analytics studies in the context of smart cities

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