pith. sign in

arxiv: 1907.03592 · v1 · pith:J5UTY3SFnew · submitted 2019-07-05 · 💻 cs.DC · cs.NI

IoT Platforms for 5G Network and Practical Considerations: A Survey

Sejuti Banik , Irvin Steve Cardenas , Jong Hoon Kim This is my paper

Pith reviewed 2026-05-25 02:14 UTC · model grok-4.3

classification 💻 cs.DC cs.NI
keywords IoT5G networkscloud platformsfog computingtelepresencesurveyopen issues
0
0 comments X

The pith

5G will enable IoT to expand globally with real-time smart interactions by integrating cloud and fog computing platforms.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This survey examines different IoT applications paired with cloud platforms to understand their current state. It investigates how 5G's high speed, low latency, and reliability will influence IoT capabilities and platform adoption. The authors also identify open issues from 5G integration and propose a specific platform for a telepresence project based on their analysis. A sympathetic reader would care because it outlines a path for IoT to become more ubiquitous and efficient in daily life through future networks.

Core claim

The paper establishes that 5G networks, being ubiquitous, reliable, scalable and economic, will globalize IoT, allowing common people to interact smartly with the environment in real time, with fog computing decentralizing cloud operations to handle big data and mobility while reducing processing lag. This is explored through a combined survey of IoT applications and cloud platforms, leading to a proposed telepresence platform.

What carries the argument

The combined survey of IoT applications with cloud platforms, which serves as the foundation for exploring 5G influences and proposing a telepresence platform implementation.

If this is right

  • IoT platforms will adopt 5G to provide extended connectivity and reduced latency services.
  • Fog computing will revolutionize IoT by decentralizing operations from the cloud.
  • Open issues triggered by 5G must be addressed to maximize network benefits.
  • The proposed telepresence platform will implement findings from the survey for practical use.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The survey implies that 5G-IoT integration patterns from the reviewed platforms could extend to other real-time applications beyond telepresence.
  • Addressing the open issues could require new standards or protocols that build directly on the surveyed cloud-fog setups.
  • The proposal positions telepresence as a concrete test case for validating 5G's role in decentralizing IoT operations.

Load-bearing premise

That the reviewed literature on IoT-cloud platforms is sufficiently representative to support claims about how 5G will drive adoption and that the proposed telepresence platform follows directly from the survey findings.

What would settle it

Measuring whether real 5G IoT deployments achieve the described high speed, reduced latency, and fog-based decentralization in applications like telepresence; failure would challenge the adoption and platform claims.

read the original abstract

The fifth generation (5G) mobile network will enable the Internet of Things (IoT) to take a large leap into the age of future computing. As a result of extended connectivity, high speed, reduced latency services being provided by 5G, IoT has experienced and will continue to undergo a remarkable transition in every field of daily life. Furthermore, fog computing will revolutionize the IoT platforms by decentralizing the operations by the cloud and ensuring sustainability with big data, mobility and reduced processing lag. 5G is ubiquitous, reliable, scalable and economic in nature. The features will not only globalize IoT in a broader spectrum, but also make common people interact smartly and efficiently with the environment in real time. In this study, a combined survey is presented on different IoT applications coupled with cloud platforms. Moreover, the capabilities of IoT in the influence of 5G are explored as well as how the IoT platform and services will adopt through 5G are envisaged. Additionally, some open issues triggered by 5G have been introduced to harness the maximum benefit out of this network. Finally, a platform is proposed to implement in the telepresence project based on the investigation and findings.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript surveys IoT applications coupled with cloud platforms, examines the capabilities and adoption of IoT under 5G influence, identifies open issues triggered by 5G, and proposes a telepresence platform based on the investigation and findings.

Significance. If the survey coverage is representative and balanced, and if the platform proposal is explicitly traceable to surveyed capabilities or gaps, the work could serve as a practical guide for IoT-5G integration in distributed systems. The survey format contributes by synthesizing literature rather than deriving new results.

major comments (1)
  1. [Abstract] Abstract: The claim that the telepresence platform is proposed 'based on the investigation and findings' lacks any explicit mapping (e.g., which surveyed IoT-cloud platform features, 5G capabilities, or open issues directly determine specific platform components). Without this traceable derivation, the proposal functions as an independent suggestion rather than a supported outcome of the review.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive feedback on our survey manuscript. The single major comment is addressed point-by-point below. We agree that strengthening the explicit linkage between the survey findings and the platform proposal will improve the manuscript.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The claim that the telepresence platform is proposed 'based on the investigation and findings' lacks any explicit mapping (e.g., which surveyed IoT-cloud platform features, 5G capabilities, or open issues directly determine specific platform components). Without this traceable derivation, the proposal functions as an independent suggestion rather than a supported outcome of the review.

    Authors: We agree that the abstract (and the corresponding section in the body) would benefit from an explicit mapping to avoid any perception that the proposal is independent. The telepresence platform is motivated by the surveyed 5G-enabled capabilities (e.g., low latency, high reliability) and the open issues identified (e.g., decentralization via fog computing, handling of big data and mobility). To address this, we will add a new subsection (or table) in the manuscript that directly traces each major platform component to specific findings from the IoT-cloud survey, 5G capabilities section, and open-issues discussion. This revision will make the derivation traceable while preserving the original proposal. revision: yes

Circularity Check

0 steps flagged

No circularity: literature survey with no derivations or self-referential predictions

full rationale

This paper is a survey of IoT-cloud platforms in the context of 5G, with a final proposal for a telepresence platform. No equations, fitted parameters, predictions, or uniqueness theorems appear in the provided text or abstract. The claim that the platform is 'proposed based on the investigation and findings' is an assertion of motivation rather than a derivation that reduces to its own inputs by construction. No self-citations are load-bearing, and the work contains no self-definitional loops or renamed empirical patterns presented as novel results. The derivation chain is therefore self-contained as a review.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical models, fitted parameters, or new entities are introduced; the paper rests on the standard assumption that a literature survey can usefully summarize the state of IoT-5G integration.

pith-pipeline@v0.9.0 · 5754 in / 914 out tokens · 20090 ms · 2026-05-25T02:14:46.657703+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

96 extracted references · 96 canonical work pages · 3 internal anchors

  1. [1]

    Last accessed 20 April 2019

    Featured page of Internet of Things Wiki, https://internetofthingswiki.com/top-20-iot-platforms/ 634/. Last accessed 20 April 2019

    work page 2019

  2. [2]

    Last accessed 20 April 2019

    OnQ Blog of Qualcomm, http://tiny.cc/wnyj5y. Last accessed 20 April 2019

    work page 2019

  3. [3]

    Last accessed 21 April 2019

    Updated List IoT Platforms in 2017 by IoT Analytics, https://iot-analytics.com/ iot-platforms-company-list-2017-update/ . Last accessed 21 April 2019

    work page 2017

  4. [4]

    and Floerkemeier, C.: From the Internet of Computers to the Internet of Things, In From active data management to event-based systems and more, pp

    Mattern, F. and Floerkemeier, C.: From the Internet of Computers to the Internet of Things, In From active data management to event-based systems and more, pp. 242-259, Springer, Berlin, Heidelberg. (2010)

    work page 2010

  5. [5]

    IEEE pervasive computing, 1(1), pp.19-25

    Weiser, M.: The computer for the 21st century. IEEE pervasive computing, 1(1), pp.19-25. (2002)

    work page 2002

  6. [6]

    and Sha, M.: An internet of things framework for smart energy in buildings: designs, prototype, and experiments, IEEE Internet of Things Journal, 2(6), pp.527-537

    Pan, J., Jain, R., Paul, S., Vu, T., Saifullah, A. and Sha, M.: An internet of things framework for smart energy in buildings: designs, prototype, and experiments, IEEE Internet of Things Journal, 2(6), pp.527-537. (2015)

    work page 2015

  7. [7]

    and Xiong, W.: A novel wireless sensor network frame for urban transportation, IEEE Internet of Things Journal, 2(6), pp.586-595

    Hu, X., Yang, L. and Xiong, W.: A novel wireless sensor network frame for urban transportation, IEEE Internet of Things Journal, 2(6), pp.586-595. (2015)

    work page 2015

  8. [8]

    and Marrn, P.J.: An internet-of-things enabled connected navigation system for urban bus riders, IEEE internet of things journal, 3(5), pp.735-744

    Handte, M., Foell, S., Wagner, S., Kortuem, G. and Marrn, P.J.: An internet-of-things enabled connected navigation system for urban bus riders, IEEE internet of things journal, 3(5), pp.735-744. (2016)

    work page 2016

  9. [9]

    Minoli, D., Sohraby, K. and Occhiogrosso, B.: IoT considerations, requirements, and architectures for smart buildingsEnergy optimization and next-generation building management systems, IEEE Internet of Things Journal, 4(1), pp.269-283. (2017)

    work page 2017

  10. [10]

    and Vasilakos, A.V.: A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges

    Niu, Y., Li, Y., Jin, D., Su, L. and Vasilakos, A.V.: A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges. Wireless Networks, 21(8), pp.2657-2676. (2015)

    work page 2015

  11. [11]

    and Smith, P.J.: Propagation models and performance evaluation for 5G millimeter-wave bands, IEEE Transactions on Vehicular Technology, 67(9), pp.8422-8439

    Sun, S., Rappaport, T.S., Shafi, M., Tang, P., Zhang, J. and Smith, P.J.: Propagation models and performance evaluation for 5G millimeter-wave bands, IEEE Transactions on Vehicular Technology, 67(9), pp.8422-8439. (2018)

    work page 2018

  12. [12]

    and Svensson, T.: The role of small cells, coordinated multipoint, and massive MIMO in 5G, IEEE Commu- nications Magazine, 52(5), pp.44-51

    Jungnickel, V., Manolakis, K., Zirwas, W., Panzner, B., Braun, V., Lossow, M., Sternad, M., Apelfrojd, R. and Svensson, T.: The role of small cells, coordinated multipoint, and massive MIMO in 5G, IEEE Commu- nications Magazine, 52(5), pp.44-51. (2014) 12 S. Banik et al

    work page 2014

  13. [13]

    and Leung, V.C.: Fronthauling for 5G LTE-U ultra dense cloud small cell networks

    Zhang, H., Dong, Y., Cheng, J., Hossain, M.J. and Leung, V.C.: Fronthauling for 5G LTE-U ultra dense cloud small cell networks. IEEE Wireless Communications, 23(6), pp.48-53. (2016)

    work page 2016

  14. [14]

    1-4), IEEE

    Vook, F.W., Ghosh, A., and Thomas, T.A.: MIMO and beamforming solutions for 5G technology, In 2014 IEEE MTT-S International Microwave Symposium (IMS2014) (pp. 1-4), IEEE

    work page 2014

  15. [15]

    and Hanzo, L.: Full duplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection

    Zhang, Z., Chai, X., Long, K., Vasilakos, A.V. and Hanzo, L.: Full duplex techniques for 5G networks: self-interference cancellation, protocol design, and relay selection. IEEE Communications Magazine, 53(5), pp.128-137. (2015)

    work page 2015

  16. [16]

    and Xu, Y.: A 5G-enabling technology: benefits, feasibility, and limitations of in-band full-duplex mMIMO

    Xia, X., Xu, K., Wang, Y. and Xu, Y.: A 5G-enabling technology: benefits, feasibility, and limitations of in-band full-duplex mMIMO. IEEE Vehicular Technology Magazine, 13(3), pp.81-90. (2018)

    work page 2018

  17. [17]

    Last accessed 27 April 2019

    Health options in Apple Watch Series 4, https://www.apple.com/apple-watch-series-4/health/ . Last accessed 27 April 2019

    work page 2019

  18. [18]

    Last accessed 27 April 2019

    Health features in fitbit, https://www.wired.com/story/when-your-activity-tracker-becomes-a-personal-medical-device/ . Last accessed 27 April 2019

    work page 2019

  19. [19]

    Last accessed 27 April 2019

    Health Monitoring System in Samsung Gear S3 Frontier, https://support.t-mobile.com/docs/DOC-33560. Last accessed 27 April 2019

    work page 2019

  20. [20]

    Last accessed 28 April 2019

    Transformation IoT features page, http://tiny.cc/gyou5y. Last accessed 28 April 2019

    work page 2019

  21. [21]

    and Shigeno, H.: Survey of real-time processing technologies of iot data streams, Journal of Information Processing, 24(2), pp.195-202, 2016

    Yasumoto, K., Yamaguchi, H. and Shigeno, H.: Survey of real-time processing technologies of iot data streams, Journal of Information Processing, 24(2), pp.195-202, 2016

    work page 2016

  22. [22]

    COASIS Standard, MQTT version 3.1.1, available from http://docs.oasis-open.org/mqtt/mqtt/v3.1.1/ os/mqtt-v3.1.1-os.doc, 2014

    work page 2014

  23. [23]

    and Bormann, C.: Request for Comment 7252, The Constrained Application Protocol (CoAP), available from http://tools.ietf.org/rfc/rfc7252.txt, 2014

    Shelby, Z., Hartke, K. and Bormann, C.: Request for Comment 7252, The Constrained Application Protocol (CoAP), available from http://tools.ietf.org/rfc/rfc7252.txt, 2014

    work page 2014

  24. [24]

    Last accesed on 28 April, 2019

    WebSocket, available from https://www.websocket.org/. Last accesed on 28 April, 2019

    work page 2019

  25. [25]

    and Borman, C.: 6LoWPAN: The Wireless Embedded In- ternet, John Wiley & Sons (2011)

    Shelby, Z. and Borman, C.: 6LoWPAN: The Wireless Embedded In- ternet, John Wiley & Sons (2011)

    work page 2011

  26. [26]

    Qin, Z., Denker, G., Giannelli, C., Bellavista, P. and Venkatasubramanian, N.: A Software Defined Network- ing Architecture for the Internet-of-Things, In: 14th Proceedings IEEE Network Operations and Management Symposium (NOMS), pp.19, 2014

    work page 2014

  27. [27]

    and Grimm, R.: A catalog of stream processing optimizations, ACM Computing Surveys, Vol.46, No.4, Article 46, pp.134, 2014

    Hirzel, M., Soul´ e, R., Schneider, S., Gedik, B. and Grimm, R.: A catalog of stream processing optimizations, ACM Computing Surveys, Vol.46, No.4, Article 46, pp.134, 2014

    work page 2014

  28. [28]

    Last accessed on 28 April 2019

    StreamBase Systems, available from http://www.streambase.com (2012). Last accessed on 28 April 2019

    work page 2012

  29. [29]

    Last Accessed on 28 April 2019

    Storm project, available from http://storm-project.net/ (2012). Last Accessed on 28 April 2019

    work page 2012

  30. [30]

    Documentation of Apache Spark-Lighting-fast cluster computing, available from http://spark.apache.org/

    work page

  31. [31]

    Ueda, K., Suwa, H., Arakawa, Y. and Yasumoto, K.: Exploring Accuracy-Cost Tradeoff in In-Home Liv- ing Activity Recognition based on Power Consumptions and User Positions, In: 14th Proceedings of IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2015), pp.11311137

    work page 2015

  32. [32]

    and Dohler, M.: Enabling the IoT machine age with 5G: Machine- type multicast services for innovative real-time applications, IEEE Access, 4, pp

    Condoluci, M., Araniti, G., Mahmoodi, T. and Dohler, M.: Enabling the IoT machine age with 5G: Machine- type multicast services for innovative real-time applications, IEEE Access, 4, pp. 5555-5569, , 2016

    work page 2016

  33. [33]

    Palattella, M. R., Dohler, M., Grieco, A., Rizzo, G., Torsner, J., Engel, T., and Ladid, L.: Internet of Things in the 5G Era: Enablers, Architecture, and Business Models, IEEE Journal on Selected Areas in Communications, vol. 34, pp. 510527, March 2016

    work page 2016

  34. [34]

    3GPP: Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description, TS 36.300

    work page

  35. [35]

    W., Lozano, A., Marzetta, T

    Boccardi, F., Heath, R. W., Lozano, A., Marzetta, T. L., and Popovski, P.: Five disruptive technology directions for 5G, IEEE Communications Magazine, vol. 52, pp. 7480, February 2014

    work page 2014

  36. [36]

    3GPP: Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC), TS 36.331

    work page

  37. [37]

    3GPP: RAN improvements for machine-type communications, TR 37.868

    work page

  38. [38]

    K., Stefanovic, C., and Popovski, P.: Code-expanded radio access protocol for machine-to-machine communications, Transactions on Emerging Telecommunications Technologies, vol

    Thomsen, H., Pratas, N. K., Stefanovic, C., and Popovski, P.: Code-expanded radio access protocol for machine-to-machine communications, Transactions on Emerging Telecommunications Technologies, vol. 24, no. 4, pp. 355365, 2013

    work page 2013

  39. [39]

    Blaji´ c, T., Noguli´ c, D., and Druˆ zijani´ c, M.: Latency Improvements in 3g Long Term Evolution, in Mipro CTI, svibanj, 2006

    work page 2006

  40. [40]

    3GPP: Study on Enhancements to Machine-Type Communications (MTC) and Other Mobile Data Appli- cations; Radio Access Network (RAN) Aspects, TR 37.869

    work page

  41. [41]

    and Chen, M.: Software-Defined Network Function Virtualization: A Survey, IEEE Access, vol

    Li, Y. and Chen, M.: Software-Defined Network Function Virtualization: A Survey, IEEE Access, vol. 3, pp. 25422553, 2015

    work page 2015

  42. [42]

    K., Hwang, J., Liu, G., and Zhang, W.: Toward a software-based network: integrating software defined networking and network function virtualization, IEEE Network, vol

    Wood, T., Ramakrishnan, K. K., Hwang, J., Liu, G., and Zhang, W.: Toward a software-based network: integrating software defined networking and network function virtualization, IEEE Network, vol. 29, pp. 3641, May 2015. IoT Platforms for 5G Network and Practical Considerations: A Survey 13

    work page 2015

  43. [43]

    L., Bouten, N., Turck, F

    Mijumbi, R., Serrat, J., Gorricho, J. L., Bouten, N., Turck, F. D. and Boutaba, R.: Network Function Virtualization: State-of-the-Art and Research Challenges, IEEE Communications Surveys Tutorials, vol. 18, pp. 236262, Firstquarter 2016

    work page 2016

  44. [44]

    M., and Taleb, T.: Toward Elastic Distributed SDN/NFV Controller for 5G Mobile Cloud Management Systems, IEEE Access, vol

    Aissioui, A., Ksentini, A., Gueroui, A. M., and Taleb, T.: Toward Elastic Distributed SDN/NFV Controller for 5G Mobile Cloud Management Systems, IEEE Access, vol. 3, pp. 20552064, 2015

    work page 2015

  45. [45]

    3GPP: Mobile radio interface layer 3 specification, core network protocols; Stage 2, TS 23.108

    work page

  46. [46]

    H., Cheng, R

    Wei, C. H., Cheng, R. G., and Tsao, S. L.: Performance Analysis of Group Paging for Machine-Type Com- munications in LTE Networks, IEEE Transactions on Vehicular Technology, vol. 62, pp. 33713382, Sept 2013

    work page 2013

  47. [47]

    65006505, June 2015

    Arouk, O., Ksentini, A., and Taleb, T.: Group paging optimization for machine-type-communications, IEEE International Conference on Communications (ICC), pp. 65006505, June 2015

    work page 2015

  48. [48]

    Arouk, O., Ksentini, A., and Taleb, T.: Group Paging-based Energy Saving for Massive MTC Accesses in LTE and Beyond Networks, IEEE Journal on Selected Areas in Communications, vol. PP, no. 99, pp. 11, 2016

    work page 2016

  49. [49]

    Lecompte, D., and Gabin, F.: Evolved multimedia broadcast/multicast service (eMBMS) in LTE-advanced: overview and Rel-11 enhancements, IEEE Communications Magazine, vol. 50, pp. 6874, November 2012

    work page 2012

  50. [50]

    Condoluci, M., Araniti, G., Molinaro, A. and Iera, A.: Multicast Resource Allocation Enhanced by Chan- nel State Feedbacks for Multiple Scalable Video Coding Streams in LTE Networks, IEEE Transactions on Vehicular Technology, vol. PP, no. 99, pp. 11, 2015

    work page 2015

  51. [51]

    H., Jayawardena, S., and Chen, M.: A Survey on Internet of Things From Industrial Market Perspective, IEEE Access, vol

    Perera, C., Liu, C. H., Jayawardena, S., and Chen, M.: A Survey on Internet of Things From Industrial Market Perspective, IEEE Access, vol. 2, pp. 16601679, 2014

    work page 2014

  52. [52]

    Last accessed 20 April 2019

    Difference between 4G and 5G, https://www.lifewire.com/5g-vs-4g-4156322 . Last accessed 20 April 2019

    work page 2019

  53. [53]

    Study of reduced latecy of 5G waves by EDN Network, http://tiny.cc/rkwm5y last accessed on 17 April 2019

    work page 2019

  54. [54]

    and Gurtov, A.: Overview of 5G security challenges and solutions

    Ahmad, I., Kumar, T., Liyanage, M., Okwuibe, J., Ylianttila, M. and Gurtov, A.: Overview of 5G security challenges and solutions. IEEE Communications Standards Magazine, 2(1), pp.36-43, 2018

    work page 2018

  55. [55]

    News on Remote Robotic Surgery in China, http://tiny.cc/h4mt5y last accessed on 25 April 2019

    work page 2019

  56. [56]

    Last Accessed 30 Apr 2019

    5G And The IOT: Scientific Overview Of Human Health Risks, https://ehtrust.org/key-issues/ cell-phoneswireless/5g-networks-iot-scientific-overview-human-health-risks/ . Last Accessed 30 Apr 2019

    work page 2019

  57. [57]

    and Davis, D.L.: Cancer epidemiology update, following the 2011 IARC evaluation of radiofrequency electromagnetic fields (Monograph 102), Environmental research, 167, pp.673-683

    Miller, A.B., Morgan, L.L., Udasin, I. and Davis, D.L.: Cancer epidemiology update, following the 2011 IARC evaluation of radiofrequency electromagnetic fields (Monograph 102), Environmental research, 167, pp.673-683. (2018)

    work page 2011

  58. [58]

    Hardell, L. and Carlberg, M.: Comments on the US National Toxicology Program technical reports on toxicology and carcinogenesis study in rats exposed to whole-body radiofrequency radiation at 900 MHz and in mice exposed to whole-body radiofrequency radiation at 1,900 MHz, International journal of oncology, 54(1), pp.111-127. (2019)

    work page 2019

  59. [59]

    and Richter, E.D.: Radio frequency radiation-related cancer: assessing causation in the occupational/military setting

    Peleg, M., Nativ, O. and Richter, E.D.: Radio frequency radiation-related cancer: assessing causation in the occupational/military setting. Environmental research, 163, pp.123-133. (2018)

    work page 2018

  60. [60]

    Lerchl, A., Klose, M., Grote, K., Wilhelm, A.F., Spathmann, O., Fiedler, T., Streckert, J., Hansen, V. and Clemens, M.: Tumor promotion by exposure to radiofrequency electromagnetic fields below exposure limits for humans, Biochemical and biophysical research communications, 459(4), pp.585-590. (2015)

    work page 2015

  61. [61]

    Di Ciaula, A.: Towards 5G communication systems: Are there health implications?, International journal of hygiene and environmental health, 221(3), pp.367-375. (2018)

    work page 2018

  62. [62]

    Meo, S.A., Almahmoud, M., Alsultan, Q., Alotaibi, N., Alnajashi, I. and Hajjar, W.M.: Mobile Phone Base Station Tower Settings Adjacent to School Buildings: Impact on Students Cognitive Health, American journal of men’s health, 13(1), p.1557988318816914. (2019)

    work page 2019

  63. [63]

    and Ishai, P.B.: The modeling of the absorbance of sub-THz radiation by human skin, IEEE Transactions on Terahertz Science and Technology, 7(5), pp.521-528

    Betzalel, N., Feldman, Y. and Ishai, P.B.: The modeling of the absorbance of sub-THz radiation by human skin, IEEE Transactions on Terahertz Science and Technology, 7(5), pp.521-528. (2017)

    work page 2017

  64. [64]

    and Feldman, Y.: The human skin as a sub-THz receiverDoes 5G pose a danger to it or not? Environmental research, 163, pp.208-216

    Betzalel, N., Ishai, P.B. and Feldman, Y.: The human skin as a sub-THz receiverDoes 5G pose a danger to it or not? Environmental research, 163, pp.208-216. (2018)

    work page 2018

  65. [65]

    Last accessed on 29 Apr 2019

    NYU Research mmWave Health Effects, https://wireless.engineering.nyu.edu/ mmwave-health-effects/. Last accessed on 29 Apr 2019

    work page 2019

  66. [66]

    and Dussopt, L.: Millimeter-wave electromagnetic field exposure from mobile terminals, In: 2015 European Conference on Networks and Communications (Eu- CNC) (pp

    Guraliuc, A.R., Zhadobov, M., Sauleau, R., Marnat, L. and Dussopt, L.: Millimeter-wave electromagnetic field exposure from mobile terminals, In: 2015 European Conference on Networks and Communications (Eu- CNC) (pp. 82-85). IEEE. (2015)

    work page 2015

  67. [67]

    Koyama, S., Narita, E., Shimizu, Y., Suzuki, Y., Shiina, T., Taki, M., Shinohara, N. and Miyakoshi, J.: Effects of long-term exposure to 60 GHz millimeter-wavelength radiation on the genotoxicity and heat shock protein (Hsp) expression of cells derived from human eye, International journal of environmental research and public health, 13(8), p.802. (2016) 1...

    work page 2016

  68. [68]

    Last accessed on 28 Apr 2019

    Webpage on Challenges of 5G, http://tiny.cc/48sz5y. Last accessed on 28 Apr 2019

    work page 2019

  69. [69]

    Norrman, K., N¨ aslund, M., and Dubrova, E.: Protecting IMSI and User Privacy in 5G Networks, In: 9th Proceedings of EAI International Conference on Mobile Multimedia Communications Institute for Computer Science, Social-Informatics, and Telecommunication Engineering, pp. 15966. (2016)

    work page 2016

  70. [70]

    19399, Sept 2017

    Ahmad, I., Kumar, T., Liyanage, M., Okwuibe, J., Ylianttila, M., Gurtov, A.: 5G security: Analysis of Threats and Solutions, IEEE Conference Standards for Communication and Networking, pp. 19399, Sept 2017

    work page 2017

  71. [71]

    V., and Buyya, R.: Fog computing: Helping the Internet of Things realize its potential

    Dastjerdi, A. V., and Buyya, R.: Fog computing: Helping the Internet of Things realize its potential. Com- puter, 49(8), 112-116, 2016

    work page 2016

  72. [72]

    and Dustdar, S.: The Promise of Edge Computing, Computer, vol

    Shi, W. and Dustdar, S.: The Promise of Edge Computing, Computer, vol. 49, no. 5, pp. 7881, 2016

    work page 2016

  73. [73]

    169-186, Springer, Cham, 2014

    Bonomi, F., Rodolfo, M., Natarajan, P., and Zhu, J.: Fog computing: A platform for internet of things and analytics, In Big data and internet of things: A roadmap for smart environments, pp. 169-186, Springer, Cham, 2014

    work page 2014

  74. [74]

    Peng, M., Yan, S., Zhang, K., and Wang, C.: Fog computing based radio access networks: Issues and chal- lenges, arXiv preprint, arXiv:1506.04233, Jun 13 2015

    work page internal anchor Pith review Pith/arXiv arXiv 2015

  75. [75]

    Tran, T. X., Hajisami, A., Pandey, P., and Pompili, D.: Collaborative mobile edge computing in 5G networks: New paradigms, scenarios, and challenges, arXiv preprint, arXiv:1612.03184, Dec 9 2016

    work page internal anchor Pith review Pith/arXiv arXiv 2016

  76. [76]

    Fog Computing: Focusing on Mobile Users at the Edge

    Luan, T. H., Gao, L., Li, Z., Xiang, Y., Wei, G., and Sun, L.: Fog computing: Focusing on mobile users at the edge, arXiv preprint, arXiv:1502.01815, Feb 6 2015

    work page internal anchor Pith review Pith/arXiv arXiv 2015

  77. [77]

    Last Accessed on 29 Apr 2019

    OpenFog Consortium Architecture Working Group, https://www.openfogconsortium.org/wp-content/ uploads/OpenFog-Architecture-Overview-WP-2-2016.pdf . Last Accessed on 29 Apr 2019

    work page 2016

  78. [78]

    and S´ aenz, J

    Corno, F., De Russis, L. and S´ aenz, J. P.: On The Advanced Services That 5G May Provide To IoT Appli- cations, In 2018 IEEE 5G World Forum (5GWF), pp. 528-531, July 2018

    work page 2018

  79. [79]

    Ray PP: A Survey of IoT Cloud Platforms, Future Computing and Informatics Journal, doi: 10.1016/j.fcij.2017.02.001 (2017)

    work page doi:10.1016/j.fcij.2017.02.001 2017

  80. [80]

    Last accessed on 29 Apr 2019

    Cisco Kinetic for Manufacturing Harnessing IoT data to boost productivity, http://tiny.cc/nv3y5y. Last accessed on 29 Apr 2019

    work page 2019

Showing first 80 references.