Volume 9 Number 2 (Jun. 2019)
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IJEEEE 2019 Vol.9(2): 108-115 ISSN: 2010-3654
doi: 10.17706/ijeeee.2019.9.2.108-115

Secure Device Discovery in Big Data Communications Networks: Opportunities and Challenges

Shahab Tayeb, Adrian Ruiz, Shahram Latifi
Abstract—This manuscript reviews the device to device (D2D) discovery in a dynamically changing topology. The discovery protocols covered focus on the first and second layers of the TCP/IP reference model, with a focus on time-sensitive protocols. These protocols can be categorized as wake-up scheduling, contact-probing intervals, and slotted channel structure. Such techniques allow nodes to stay idle or asleep often in a network, but also receive and transmit information when needed. Since device discovery is usually time and energy consuming, many of the mentioned protocols attempt to lower both costs. The goal of this manuscript is to provide information on time-based D2D discovery protocols. Given the prevalence of transient sensors in the Internet of Things, efficient dynamic device discovery remains a paramount issue for large-scale deployment of IoT. A key issue in a hierarchical topology is to perspicaciously and efficiently identify and utilize the nearest available resource. We conclude that the existing discovery mechanisms do not consider the introduced overhead and are designed without consideration of the real-time computation requirements.

Index Terms—Big data networks, device discovery, internet of things.

The authors are with Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV, USA (email: Shahab.Tayeb@unlv.edu).

Cite: Shahab Tayeb, Adrian Ruiz, Shahram Latifi, "Secure Device Discovery in Big Data Communications Networks: Opportunities and Challenges," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 9, no. 2, pp. 108-115, 2019.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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