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Open Access

IoT-Based Cost Saving Offloading System for Cellular Networks

Department of Computer Science, Georgia State University, Atlanta 30303, GA, USA.
Department of Computer Science and Information Systems, University of North Georgia, 82 College Cir, Dahlonega 30597, GA, USA.
College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
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Abstract

Nowadays, with the new techniques available in hardware and software, data requests generated by applications of mobile devices have grown explosively. The large amount of data requests and their responses lead to heavy traffic in cellular networks. To alleviate the transmission workload, offloading techniques have been proposed, where a cellular network distributes some popular data items to other wireless networks, so that users can directly download these data items from the wireless network around them instead of the cellular network. In this paper, we design a Cost Saving Offloading System (CoSOS), where the Internet of Things (IoT) is used to undertake partial data traffic and save more bandwidth for the cellular network. Two types of algorithms are proposed to handle the popular data items distribution among users. The experimental results show that CoSOS is useful in saving bandwidth and decreasing the cost for cellular networks.

Keywords

Internet of Things (IoT)cellular networkscost minimization

References

[1]
Ericsson Mobility Report (2013, June). Available: http:// www.ericsson.com/res/docs/2013/ericsson-mobilityreport-june-2013.pdf.
[2]
Ericsson Mobility Report (2014, June). Available: http:// www.ericsson.com/res/docs/2014/ericsson-mobilityreport-june-2014.pdf.
[3]
He Z., Cai Z., and Wang X., Modeling propagation dynamics and developing optimized countermeasures for rumor spreading in online social networks, in Distributed Computing Systems (ICDCS), 2015, pp. 205-214.
Crossref
[4]
Bandyopadhyay D. and Sen J., Internet of things: Applications and challenges in technology and standardization, Wireless Personal Communications, vol. 58, no. 1, pp. 49-69, 2011.
Crossref Google Scholar
[5]
Zheng X., Cai Z., Li J., and Gao H., An application aware scheduling policy for real-time traffic, in Distributed Computing Systems (ICDCS), 2015, pp. 421-430.
Crossref
[6]
Zheng X., Cai Z., Li J., and Gao H., A study on application-aware scheduling inwireless networks, IEEE Transactions on Mobile Computing, .
Crossref Google Scholar
[7]
Zhang L., Wang X., Lu J., Ren M., Duan Z., and Cai Z., A novel contact prediction-based routing scheme for DTNs, Transactions on Emerging Telecommunications Technologies, .
Crossref Google Scholar
[8]
Zhuo J., Lu H., Lu Z., and Li Y., Scalable routing algorithm for partial matches in P2P systems, (in Chinese), Journal of Tsinghua University (Science and Technology), vol. 44, no. 10, pp. 1389-1393, 2004.
Google Scholar
[9]
Zhao Q., Xu L., Mao Y., Leng S., Min G., Hu J., and Najjari N., Service-oriented wireless multimedia multicasting with partial frequency reuse, Tsinghua Science and Technology, vol. 21, no. 6, pp. 598-609, 2016.
Crossref Google Scholar
[10]
Zheng X., Cai Z., Li J., and Gao H., Location-privacy- aware review publication mechanism for local business service systems, presented at the 36th Annual IEEE International Conference on Computer Communications (INFOCOM 2017), Atlanta, GA, USA, 2017.
[11]
Han M., Liang Y., Duan Z., and Wang Y., Mining public business knowledge: A case study in SEC’s EDGAR, in Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom)(BDCloud-SocialCom-SustainCom), 2016, pp. 393-400.
Crossref
[12]
Barbera M. V., Stefa J., Viana A. C., Amorim M. D., and Boc M., VIP delegation: Enabling VIPs to offload data in wireless social mobile networks, in 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), 2011, pp. 1-8.
Crossref
[13]
Han B., Hui P., Kumar V. S., Marathe M. V., Pei G., and Srinivasan A., Cellular traffic offloading through opportunistic communications: A case study, in Proc. 5th ACM Workshop on Challenged Networks, 2010, pp. 31-38.
Crossref
[14]
Cai Z., He Z., Guan X., and Li Y., Collective data sanitization for preventing sensitive information inference attacks in social networks, IEEE Transactions on Dependable and Secure Computing, .
Crossref Google Scholar
[15]
Li Y., Su G., Hui P., Jin D., Su L., and Zeng L., Multiple mobile data offloading through delay tolerant networks, in Proc. 6th ACM Workshop on Challenged Networks, 2011, pp. 43-48.
Crossref
[16]
Costa P., Mascolo C., Musolesi M., and Picco G. P., Socially-aware routing for publish-subscribe in delay tolerant mobile ad hoc networks, IEEE Journal on Selected Areas in Communications, vol. 26, no. 5, pp. 748-760, 2008.
Crossref Google Scholar
[17]
Zhuo X., Gao W., Cao G., and Dai Y., Win-Coupon: An incentive framework for 3G traffic offloading, in 19th IEEE International Conference on Network Protocols, 2011, pp. 206-215.
Crossref
[18]
Duan Z., Yan M., Cai Z., Wang X., Han M., and Li Y., Truthful incentive mechanisms for social cost minimization in mobile crowdsourcing systems, Sensors, vol. 16, no. 4, p. 481, 2016.
Crossref Google Scholar
[19]
Anderegg L. and Eidenbenz S., Ad hoc-VCG: A truthful and cost-efficient routing protocol for mobile ad hoc networks with selfish agents, in Proc. 9th Annual International Conference on Mobile Computing and Networking, 2003, pp. 245-259.
Crossref
[20]
Wang W., Li X., and Wang Y., Truthful multicast routing in selfish wireless networks, in Proc. 10th Annual International Conference on Mobile Computing and Networking, 2004, pp. 245-259.
Crossref
[21]
Li J., Cai Z., Yan M., and Li Y., Using crowdsourced data in location-based social networks to explore influence maximization, in The 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016, 2016.
[22]
He Z., Cai Z., Yu J., Wang X., Sun Y., and Li Y., Cost- efficient strategies for restraining rumor spreading in mobile social networks, IEEE Transactions on Vehicular Technology, vol. 66, no. 3, pp. 2789-2800, 2016.
Crossref Google Scholar
[23]
Zhang L., Wang X., Lu J., Ren M., Duan Z., and Cai Z., A novel contact prediction based routing scheme for DTNs, Transactions on Emerging Telecommunications Technologies, .
Crossref Google Scholar
[24]
Liu G., Krishnamani J., Sunderraman R., and Li Y., Prediction-based routing with packet scheduling under temporal constraint in delay tolerant networks, presented at the IEEE 32nd International Performance Computing and Communications Conference (IPCCC), 2013, pp. 1-7.
[25]
Gao W., Li Q., Zhao B., and Cao G., Multicasting in delay tolerant networks: A social network perspective, in Proc. Tenth ACM International Symposium on Mobile Ad hoc Networking and Computing, 2009, pp. 299-308.
Crossref
Tsinghua Science and Technology
Volume 22 Issue 4,
August 2017
Pages 379-388
DOI: 10.23919/TST.2017.7986941
Cite this article:
Duan Z, Yan M, Han Q, et al. IoT-Based Cost Saving Offloading System for Cellular Networks. Tsinghua Science and Technology, 2017, 22(4): 379-388. https://doi.org/10.23919/TST.2017.7986941

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Received: 18 November 2016
Revised: 17 January 2017
Accepted: 22 January 2017
Published: 20 July 2017
© The author(s) 2017
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