Improving Data Accessibility in Named Data Networking based on Mobile Crowd Sensing

Subject Areas : Majlesi Journal of Telecommunication Devices

Maryam Joudaki ¹ , Samira Karim Pour ²

1 - Faculty of Computer Engineering, Najafabad branch, Islamic Azad University, Najafabad, Iran
2 - Faculty of Computer Engineering, Kashan branch, Islamic Azad University, Kashan, Iran.

Received: 2021-11-08 Accepted : 2021-11-22 Published : 2022-03-01

Keywords: Named data networking,

Abstract :

Scalability, security, resiliency, and efficiency are Named data networking’s (NDN) main features which have attracted many researchers' attention to be considered for IoT. In this field of study, many research areas still need improvements like accessibility. In this paper, an NDN-based protocol is proposed for reducing data access time in the discovery phase in mobile crowdsensing by using a category table (CT). This protocol makes it possible to access semantic information through the category table. The efficiency of the proposed protocol is measured by simulation and demonstrated that in packet end-to-end delay is lower than the existing methods’ (NDN and Geo-NDN). Also, the proposed protocol was found to has the highest rate successful message delivery rate.

References:

[1] P. Talebifard and V. C. Leung, "Towards a content-centric approach to crowd-sensing in vehicular clouds," Journal of Systems Architecture, vol. 59, no. 10, pp. 976-984, 2013.

[2] R. K. Ganti, F. Ye, and H. Lei, "Mobile crowdsensing: current state and future challenges," IEEE Communications Magazine, vol. 49, no. 11, pp. 32-39, 2011.

[3] L. Zhang et al., "Named data networking," ACM SIGCOMM Computer Communication Review, vol. 44, no. 3, pp. 66-73, 2014.

[4] L. Zhang et al., "Named data networking (ndn) project," Relatorio Tecnico NDN-0001, Xerox Palo Alto Research Center-PARC, vol. 157, p. 158, 2010.

[5] C. Dannewitz, D. Kutscher, B. Ohlman, S. Farrell, B. Ahlgren, and H. Karl, "Network of information (netinf)–an information-centric networking architecture," Computer Communications, vol. 36, no. 7, pp. 721-735, 2013.

[6] G. Xylomenos et al., "A survey of information-centric networking research," IEEE Communications Surveys & Tutorials, vol. 16, no. 2, pp. 1024-1049, 2013.

[7] Y. Yu-Ting, L. Yuanjie, M. Xingyu, S. Wentao, M. Y. Sanadidi, and M. Gerla, "Scalable opportunistic VANET Content Routing with encounter information," in 2013 21st IEEE International Conference on Network Protocols (ICNP), 2013, pp. 1-6.

[8] A. Aboodi, T.-C. Wan, and G.-C. Sodhy, "Survey on the Incorporation of NDN/CCN in IoT," IEEE Access, 2019.

[9] Z. Sheng, S. Yang, Y. Yu, A. V. Vasilakos, J. A. McCann, and K. K. Leung, "A survey on the ietf protocol suite for the internet of things: Standards, challenges, and opportunities," IEEE Wireless Communications, vol. 20, no. 6, pp. 91-98, 2013.

[10] C. Yi, A. Afanasyev, L. Wang, B. Zhang, and L. Zhang, "Adaptive forwarding in named data networking," ACM SIGCOMM computer communication review, vol. 42, no. 3, pp. 62-67, 2012.

[11] W. Shang et al., "Named data networking of things," in 2016 IEEE first international conference on internet-of-things design and implementation (IoTDI), 2016, pp. 117-128: IEEE.

[12] A. Abane, P. Muhlethaler, M. Daoui, and H. Afifi, "A Down-to-Earth Integration of Named Data Networking in the Real-World IoT," in 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2018, pp. 243-249: IEEE.

[13] Z. Zhang et al., "NDNoT: a framework for named data network of things," in ICN, 2018, pp. 200-201.

[14] G. Ruggeri, M. Amadeo, C. Campolo, A. Iera, and A. Molinaro, "Exploiting Social Ties at the Mobile Edge through Named Data Networking," in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, pp. 1766-1770: IEEE.

[15] G. Piro, V. Ciancaglini, R. Loti, L. A. Grieco, and L. Liquori, "Providing Crowd-Sourced and Real-Time Media Services through an NDN-Based Platform," in Modeling and Processing for Next-Generation Big-Data Technologies: Springer, 2015, pp. 405-441.

[16] M. F. Majeed, S. H. Ahmed, and M. N. Dailey, "Enabling Push-Based Critical Data Forwarding in Vehicular Named Data Networks," IEEE Communications Letters, vol. 21, no. 4, pp. 873-876, 2017.

[17] S. Guizani, "Internet-of-things (IoT) feasibility applications in information Centric Networking System," in 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017, pp. 2192-2197: IEEE.

[18] C. Voigt, S. Dobner, M. Ferri, S. Hahmann, and K. Gareis, "Community engagement strategies for crowdsourcing accessibility information," in International Conference on Computers Helping People with Special Needs, 2016, pp. 257-264: Springer.

[19] C. Prandi, P. Salomoni, and S. Mirri, "mPASS: integrating people sensing and crowdsourcing to map urban accessibility," in 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), 2014, pp. 591-595: IEEE.

[20] M. Amadeo, C. Campolo, A. Molinaro, and G. Ruggeri, "IoT data processing at the edge with named data networking," in European Wireless 2018; 24th European Wireless Conference, 2018, pp. 1-6: VDE.

[21] D. Li, M. Hu, and R. Chen, "Quadtree–based management on semantic cache for mobile computing," International journal of computer applications in technology, vol. 43, no. 4, pp. 393-399, 2012.