Abstract
Cellular resources are expensive and should be saved whenever possible. In this paper, we propose Scheduled Content Delivery (SCoD), a resource-saving strategy that draws on the mobility of users to reduce the number of cellular transmissions. The idea is to postpone a transmission in order to maximize its benefits in terms of users located in the same cell. We exploit the delay tolerance of certain types of content combined with the natural tendency of users to get together in the same locations. By relying on multicast communications, we can then reduce the number of transmissions required to satisfy all requesting users. SCoD relies on previous observations to determine, in an adaptive way, the number of users that should trigger a multicast transmission in a cell. We evaluate SCoD and compare it against other strategies by running trace-driven simulations based on real-world mobility datasets. We also compare SCoD with an Oracle, which gives the best case but is unfeasible as it relies on the knowledge of future displacements of nodes. The results show that SCoD covers 100% of the users while consuming almost as few resources as the Oracle.
Similar content being viewed by others
Notes
This paper is a significant extension version of the conference paper titled “SCoD: Saving Cellular Resources by Delaying Transmissions of Popular Content”, presented at IEEE International Symposium on Wireless Communication Systems, Brussels, Belgium, August 2015 [7].
In fact, we derive a lower bound on the gains that we can obtain with SCoD, as multiple content would benefit from the same user gatherings, leading to additive gains. Dealing with multiple content in the system at the same time will be subject of future work.
In fact, we encounter this type of situation in several scenarios of real life, like traffic on a highway and public transportation during rush hours.
References
Cisco (2016) Cisco visual networking index: global mobile data traffic forecast update 2015–2020 white paper
Lo K (2015) Mobile internet: how many gigabytes do you need?
Wyatt E (2014) AT&T accused of deceiving smartphone customers with unlimited data plans
Dimatteo S, Hui P, Bo H, Li VOK (2011) Cellular traffic offloading through WiFi networks. In: Proceedings of the 8th international conference on mobile ad-hoc and sensor systems (MASS). IEEE, pp 192–201
Rebecchi F, De Amorim MD, Conan V, Passarella A, Bruno R, Conti M (2015) Data offloading techniques in cellular networks: a survey. IEEE Commun Surv Tutorials 17(2):580–603
Asadi A, Wang Q, Mancuso V (2014) A survey on device-to-device communication in cellular networks. IEEE Commun Surv Tutorials 16(4):1801–1819
Belouanas S-E, Thai K-L, De Amorim MD et al (2015) Scod: saving cellular resources by delaying transmissions of popular content. In: Proceedings of the 12th International Symposium on Wireless Communication Systems (ISWCS). IEEE, pp 111–115
Checko A, Christiansen HL, Yan Y, Scolari L, Kardaras G, Berger MS, Dittmann L (2015) Cloud RAN for mobile networks — a technology overview. IEEE Commun Surv Tutorials 17(1):405–426
Kumar V, Lin L, Krajzewicz D, Hrizi F, Martinez O, Gozalvez J, Bauza R (2010) itetris: Adaptation of its technologies for large scale integrated simulation. In: Proceedings of the 71st vehicular technology conference (VTC 2010-Spring). IEEE , pp 1–5
Codeca L, Frank R, Engel T (2015) Luxembourg SUMO traffic (LuST) scenario: 24 hours of mobility for vehicular networking research. In: 2015 IEEE vehicular networking conference (VNC). IEEE, pp 1–8
Kim DK, Sung DK (1999) Characterization of soft handoff in cdma systems. IEEE Trans Veh Technol 48 (4):1195–1202
Karp RM (1972) Reducibility among combinatorial problems. In: Complexity of computer computations. Springer, pp 85–103
Chvatal V (1979) A greedy heuristic for the set-covering problem. Math Oper Res 4(3):233–235
Slavík P (1996) A tight analysis of the greedy algorithm for set cover. In: Proceedings of the 28th ACM symposium on theory of computing (STOC). ACM, pp 435–441
Krajzewicz D, Rossel C (2007) Simulation of urban mobility (sumo). In: Centre for applied informatics (ZAIK) and the institute of transport research at the german aerospace centre
Luxembourg national institute of statistic and economic studies
Whitbeck J, Lopez Y, Leguay J, Conan V, De MD (2012) Amorim. Push-and-track: saving infrastructure bandwidth through opportunistic forwarding. Pervasive Mob Comput 8(5):682–697
Aurenhammer F (1991) Voronoi diagrams—a survey of a fundamental geometric data structure. ACM Comput Surv (CSUR) 23(3):345–405
Frenkiel RH, Badrinath B R, Borras J, Yates RD (2000) The infostations challenge: balancing cost and ubiquity in delivering wireless data. IEEE Pers Commun 7(2):66–71
Xiong Y, Tian R, Ma J, Liu Y, Sun L (2010) Optimal infostation deployment for spatio-temporal information dissemination. In: 2010 IEEE symposium on computers and communications (ISCC). IEEE, p 2010
Dinur I, Safra S (2005) On the hardness of approximating minimum vertex cover. Annals Math 162(1):439–485
Wang JC-P, ElGindy H, Lipman J (2006) On cache prefetching strategies for integrated infostation-cellular network. In: Proceedings. 2006 31st IEEE Conference on Local Computer Networks. IEEE, pp 185–192
Sollazzo G, Musolesi M, Mascolo C (2007) TACO-DTN A time-aware content-based dissemination system for delay tolerant networks. In: Proceedings of the 1st International MobiSys Workshop on Mobile Opportunistic Networking, pp 83–90
Eugster PTh, Felber PA, Guerraoui R, Kermarrec A-M (2003) The many faces of publish/subscribe. ACM Comput Surv (CSUR) 35(2):114–131
Martinez FJ, Toh CK, Cano J-C, Calafate CT, Manzoni P (2011) A survey and comparative study of simulators for vehicular ad hoc networks (vanets). Wirel Commun Mob Comput 11(7):813–828
Luan TH, Cai LX, Chen J, Shen X, Bai F (2014) Engineering a distributed infrastructure for large-scale cost-effective content dissemination over urban vehicular networks. IEEE Trans Veh Technol 63(3):1419–1435
Trullols O, Fiore M, Casetti C, Chiasserini C-F, Barcelo Ordinas JM (2010) Planning roadside infrastructure for information dissemination in intelligent transportation systems. Comput Commun 33(4):432–442
Ahn J, Sathiamoorthy M, Krishnamachari B, Bai F, Zhang L (2014) Optimizing content dissemination in vehicular networks with radio heterogeneity. IEEE Trans Mob Comput 13(6):1312–1325
Balasubramanian A, Mahajan R, Venkataramani A (2010) Augmenting mobile 3G using WiFi. In: Proceedings of the 8th international conference on mobile systems, Applications, and Services (MobiSys). ACM, pp 209–222
Lee K, Lee J, Yi Y, Rhee I, Chong S (2013) Mobile data offloading: how much can WiFi deliver? IEEE/ACM Trans Netw 21(2):536–550
Siris VA, Kalyvas D (2013) Enhancing mobile data offloading with mobility prediction and prefetching. ACM SIGMOBILE Mob Comput Commun Rev 17(1):22–29
Yoon S, Ha DT, Ngo HQ, Qiao C (2009) Mopads: A mobility profile aided file downloading service in vehicular networks. IEEE Trans Veh Technol 58(9):5235–5246
Mehmeti F, Spyropoulos T (2014) Is it worth to be patient? Analysis and optimization of delayed mobile data offloading. In: Proceedings of the 33rd international conference on computer communications (INFOCOM). IEEE, pp 2364–2372
Wang N, Wu J (2016) Opportunistic wifi offloading in a vehicular environment Waiting or downloading now? In: Proceedings of the 35th IEEE International Conference on Computer Communications (IEEE INFOCOM 2016)
Malandrino F, Casetti C, Chiasserini C-F, Fiore M (2012) Offloading cellular networks through its content download. In: 2012 9th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks (SECON). IEEE, pp 263–271
Rebecchi F, De Amorim MD, Conan V (2014) Droid: adapting to individual mobility pays off in mobile data offloading. In: Proceedings of the IFIP networking 2014 conference. IFIP, pp 1–9
Whitbeck J, Amorim M, Lopez Y, Leguay J, Conan V (2011) Relieving the wireless infrastructure when opportunistic networks meet guaranteed delays. In: Proceedings of the 12th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE, pp 1–10
Bo H, Hui P, Kumar VS, Marathe MV, Pei G, Srinivasan A (2010) Cellular traffic offloading through opportunistic communications: a case study. In: Proceedings of the 5th workshop on challenged networks. ACM, pp 31–38
Lungaro P, Segall Z, Zander J (2010) Context-aware rrm for opportunistic content delivery in cellular networks. In: Proceedings of the 3rd international conference on communication theory, reliability, and quality of service (CTRQ). IEEE, pp 175–180
Acknowledgments
This work was partially funded by the French National Research Agency (ANR) under project ANR DataTweet (ANR-13-INFR-0008).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Belouanas, SE., Bezahaf, M., Thai, KL. et al. Leveraging node gatherings to save cellular resources. Ann. Telecommun. 72, 717–730 (2017). https://doi.org/10.1007/s12243-017-0600-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12243-017-0600-9