The University of Southampton
University of Southampton Institutional Repository

Multiple mobile data offloading through disruption tolerant networks

Multiple mobile data offloading through disruption tolerant networks
Multiple mobile data offloading through disruption tolerant networks
To cope with explosive traffic demands on current cellular networks of limited capacity, Disruption Tolerant Networking (DTN) is used to offload traffic from cellular networks to high capacity and free device-to-device networks. Current DTN-based mobile data offloading models are based on simple and unrealistic network assumptions which do not take into account the heterogeneity of mobile data and mobile users. We establish a mathematical framework to study the problem of multiple-type mobile data offloading under realistic assumptions, where (i) mobile data are heterogeneous in terms of size and lifetime; (ii) mobile users have different data subscribing interests; and (iii) the storages of offloading helpers are limited. We formulate the objective of achieving maximum mobile data offloading as a submodular function maximization problem with multiple linear constraints of limited storage, and propose three algorithms, suitable for the generic and more specific offloading scenarios, respectively, to solve this challenging optimization problem. We show that the designed algorithms effectively offload data to the DTN by using both the theoretical analysis and simulation investigations which employ both real human and vehicular mobility traces.
1536-1233
1579-1596
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Qian, Mengjiong
cacc3778-f7ee-470a-a371-ddbc1ae93628
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Hui, Pan
f89491e3-a0ed-4475-a0ee-a874e3514e98
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Qian, Mengjiong
cacc3778-f7ee-470a-a371-ddbc1ae93628
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Hui, Pan
f89491e3-a0ed-4475-a0ee-a874e3514e98
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Li, Yong, Qian, Mengjiong, Jin, Depeng, Hui, Pan, Wang, Zhaocheng and Chen, Sheng (2014) Multiple mobile data offloading through disruption tolerant networks. IEEE Transactions on Mobile Computing, 13 (7), 1579-1596. (doi:10.1109/TMC.2013.61).

Record type: Article

Abstract

To cope with explosive traffic demands on current cellular networks of limited capacity, Disruption Tolerant Networking (DTN) is used to offload traffic from cellular networks to high capacity and free device-to-device networks. Current DTN-based mobile data offloading models are based on simple and unrealistic network assumptions which do not take into account the heterogeneity of mobile data and mobile users. We establish a mathematical framework to study the problem of multiple-type mobile data offloading under realistic assumptions, where (i) mobile data are heterogeneous in terms of size and lifetime; (ii) mobile users have different data subscribing interests; and (iii) the storages of offloading helpers are limited. We formulate the objective of achieving maximum mobile data offloading as a submodular function maximization problem with multiple linear constraints of limited storage, and propose three algorithms, suitable for the generic and more specific offloading scenarios, respectively, to solve this challenging optimization problem. We show that the designed algorithms effectively offload data to the DTN by using both the theoretical analysis and simulation investigations which employ both real human and vehicular mobility traces.

Text
tmc-2014-july.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: July 2014
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 367050
URI: http://eprints.soton.ac.uk/id/eprint/367050
ISSN: 1536-1233
PURE UUID: a6d013ec-859b-497e-8991-9d63f356d563

Catalogue record

Date deposited: 21 Jul 2014 12:03
Last modified: 07 Oct 2019 18:31

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×