Offloading cellular traffic with opportunistic networks: a feasibility study

Valerio, Lorenzo; Abdesslemy, F. Ben; Lindgreny, A.; Bruno, Raffaele; Passarella, Andrea; Luoto, Markus

doi:10.1109/medhocnet.2015.7173296

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…Before the deadline, every user of the new system was required to get some particular data using a Wi-Fi access point. The authors in [30] investigated a dataset of video requests obtained from real-world cellular traffic over a one-month period in a big metropolitan region to come up with a viable offloading approach.…”

Section: Overview Of Data Offloading Approachesmentioning

confidence: 99%

Smart Architectural Framework for Symmetrical Data Offloading in IoT

et al. 2021

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With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues.

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Section: Overview Of Data Offloading Approachesmentioning

confidence: 99%

Smart Architectural Framework for Symmetrical Data Offloading in IoT

et al. 2021

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“…Energy Optimization. Techniques have been proposed to optimize web browsing via application-level optimization, including aggregating data traffic [12,26,47] or requests [11,31], and parallel downloading [8,25]. Our approach targets a lower level, by exploiting the heterogeneous hardware architecture to perform energy optimization.…”

Section: Related Workmentioning

confidence: 99%

Proteus

Ren

Wang

Fang

et al. 2018

Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies

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Web browsing is an important application domain. However, it imposes a significant burden on battery-powered mobile devices. While heterogeneous multi-cores offer the potential for energyefficient mobile web browsing, existing web browsers fail to exploit the heterogeneous hardware because they are not tuned for typical networking environments and web workloads, and there are few existing efforts that try to lower the energy consumption of web browsing for heterogeneous mobile platforms. Our work introduces a better way to optimize web browsing on heterogeneous mobile devices. We achieve this by developing a machine learning based approach to predict which of the CPU cores to use and the operating frequencies of CPU and GPU. We do so by first learning, offline, a set of predictive models for a range of networking environments. We then choose a learnt model at runtime to predict the optimal processor configuration. The prediction is based on the web content, the network status and the optimization goal. We evaluate our approach by applying it to the open-source Chromium browser and testing it on two representative heterogeneous mobile multi-cores platforms. We apply our approach to the top 1000 popular websites across seven typical networking environments. Our approach achieves over 80% of best available performance. We obtain, on average, over 17% (up to 63%), 31% (up to 88%), and 30% (up to 91%) improvement respectively for load time, energy consumption and the energy delay product, when compared to two state-of-the-art mobile web browsing schedulers. CCS CONCEPTS • Computer systems organization → Embedded software; • Computing methodologies → Parallel computing methodologies;

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“…Then the server will become the bottleneck of the system. In Valerio’s research on offloading with opportunistic networks, if a node cannot get the wanted content from the contacted nodes, it will download it through cellular networks [ 10 ]. After a node downloads its requested content, the node sends the content to some random neighbors in the same district.…”

Section: Related Workmentioning

confidence: 99%

“…Recently, researchers have being studying how to offload mobile data from cellular networks onto opportunistic networks [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ]. In opportunistic networks, it is difficult to build a continuous end-to-end routing path, so the networks are disruption tolerant.…”

Section: Introductionmentioning

confidence: 99%

Distance-Based Opportunistic Mobile Data Offloading

Lió

Hui

2016

Sensors

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Cellular network data traffic can be offload onto opportunistic networks. This paper proposes a Distance-based Opportunistic Publish/Subscribe (DOPS) content dissemination model, which is composed of three layers: application layer, decision-making layer and network layer. When a user wants new content, he/she subscribes on a subscribing server. Users having the contents decide whether to deliver the contents to the subscriber based on the distance information. If in the meantime a content owner has traveled further in the immediate past time than the distance between the owner and the subscriber, the content owner will send the content to the subscriber through opportunistic routing. Simulations provide an evaluation of the data traffic offloading efficiency of DOPS.

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Offloading cellular traffic with opportunistic networks: a feasibility study

Cited by 8 publications

References 21 publications

Smart Architectural Framework for Symmetrical Data Offloading in IoT

Smart Architectural Framework for Symmetrical Data Offloading in IoT

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Distance-Based Opportunistic Mobile Data Offloading

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