Relieving the wireless infrastructure: When opportunistic networks meet guaranteed delays

Whitbeck, John; Amorim, Marcelo Dias de; Lopez, Yoann; Leguay, Jérémie; Conan, Vania

doi:10.1109/wowmom.2011.5986466

Cited by 91 publications

(115 citation statements)

References 13 publications

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“…A node is either the personal device of a user, which moves with the user, or a fixed station, as in the case of a road-side gateway to/from a wired network. Thus, we are considering a hybrid urban network infrastructure [10], [20]. Throughout this paper, all nodes, whether fixed or mobile, have the same capabilities; each node operates as source, recipient and forwarder of messages with specified interests.…”

Section: System Assumptions and Problem Definitionmentioning

confidence: 99%

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Interest-driven forwarding for delay-tolerant mobile ad hoc networks

Pagani

Rossi

2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In the era of pervasive mobile computing, human encounters can be leveraged to enable new forms of social interactions mediated by the personal devices of individuals. In this framework, emerging needs, such as content dissemination, social discovery and question&answering, advocate the raising of novel communication paradigms where the binding contentrecipients is not provided by the sender (in the classical IP addressing style), but directly executed by specific recipients with interest on it. This allows tagged contents to be freely advertised on the network according to a content-driven approach; human encounters drive the information towards potential recipients that extract it from the stream when content type and personal interest match. This very active research area has recently produced a few preliminary solutions to this networking problem; they inherently confine message delivery inside a specific location and/or community. This covers only a part of users needs, as emerging from everyday life experience and recent studies in human sciences. This paper proposes a novel communication protocol, named InterestCast, or ICast, solving the problem for a wide range of social scenarios and applying to a delay tolerant ad hoc network whose nodes are the personal device of moving individuals, possibly interacting with fixed road-side devices. The protocol is able to chase users interests decoupling content tags from locations and social communities. The main advantages the proposal achieves are: it ensures remarkable performance results; it is simple and, thus, it is feasible and keeps computational and networking costs low; it preserves users privacy.

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Section: System Assumptions and Problem Definitionmentioning

confidence: 99%

“…The correctness property guarantees that recipients without interest about I are not spammed with unwanted messages, that is, it excludes broadcast (adopted, e.g., in [20]). The effectiveness property has to do with user satisfaction and delivery fairness.…”

Section: System Assumptions and Problem Definitionmentioning

confidence: 99%

Interest-driven forwarding for delay-tolerant mobile ad hoc networks

Pagani

Rossi

2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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“…Since then, this idea has been adapted in different proposals in wireless networks. To reduce delays, multiple copies of data are shared within the cooperative network that operates on the short-range links [6]. To recover errors from cellular links, error correction code produced by devices that receive good copies of the content are shared among smartphones over short-range links [7].…”

Section: Related Workmentioning

confidence: 99%

Optimal rate allocation and scheduling in cooperative streaming

Zakerinasab

Wang

2014

39th Annual IEEE Conference on Local Computer Networks

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Abstract-The demand for multimedia streaming, especially from mobile devices, is growing rapidly, mostly due to the increasing deployment of broadband cellular technologies and the growing computing power on modern mobile devices. While cellular carriers strive to meet the demand, mobile devices are challenged by the variable transmission rate in wireless channels and limited battery capacity. To this end, we propose an energyefficient cooperative streaming system. In the proposed system, mobile devices collectively stream a copy of the multimedia content from the source over cellular links. The devices form a cooperative group and share received content with each other over short-range links. The design of the system is guided by the optimal rate allocation and scheduling (RAS) algorithm that determines the amount of data and the data to be transmitted on each link. The actual data scheduled to be transmitted on each link is delivered in coded form for efficient loss detection and recovery. Overall, the system minimizes both the streaming traffic in the cellular network and the energy consumed by streaming applications on mobile devices. Our experimental results show that significant energy saving is achieved in the proposed system. Moreover, our RAS algorithm prolongs the streaming session for the entire cooperative group. I. INTRODUCTIONThe demand for high quality video streaming on mobile devices grows along with the deployment of 3G/4G technologies and the increasing computing power on mobile devices. Currently, video streaming traffic accounts for more than 53% of the cellular Internet traffic, and is expected to reach 66% in the next four years [1]. While cellular carriers strive to meet the expected growth, mobile devices are also challenged by the variable transmission rate in wireless channels and limited battery capacity. Reducing the loss rate and bandwidth fluctuation is a straightforward, but not easy, way to improve cellular networks for multimedia streaming. The alternative approach is to encourage cooperation among mobile devices by utilizing short-range links such as WiFi and Bluetooth [2]. The use of short-range links in addition to cellular links not only alleviates the workload in cellular networks, but also increases the overall link capacity around individual mobile devices.The cooperative system is formed by groups of mobile devices that are within the same WiFi network and are interested in viewing the same video at the same time. As shown in Fig. 1, there are groups of mobile devices, where within each group the mobile devices communicate over short-range (WiFi, in this case) links and form a swarming session to exchange multimedia content received from the cellular network [2]. In this cooperative streaming system, mobile devices of the same group contact the source regarding the video of their interest. The video source prepares and serves the multimedia content over cellular links. Upon receiving the multimedia content, a mobile device broadcasts the content in the local shortrange n...

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“…Opportunistic communication based services have been proposed across several domains. For instance, studies have been done in the dissemination of dynamic content such as news using real world data sets, as well as that of traffic update information using dataset of the municipality of Bologna [19,25]. In several of the aforementioned application scenarios, the usefulness and/or relevance of the disseminated content crucially depends on it being opportunely delivered.…”

Section: Introductionmentioning

confidence: 99%

“…Whitbeck et al [25] were the first to study a fixed deadline scenario. They propose a Push-and-Track framework, where a subset of users receive the content from the infrastructure and start disseminating it epidemically.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Rumor Spreading

Correa

Kiwi

Olver

et al. 2015

Web and Internet Economics

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Abstract. Motivated by the recent emergence of the so-called opportunistic communication networks, we consider the issue of adaptivity in the most basic continuous time (asynchronous) rumor spreading process. In our setting a rumor has to be spread to a population; the service provider can push it at any time to any node in the network and has unit cost for doing this. On the other hand, as usual in rumor spreading, nodes share the rumor upon meeting and this imposes no cost on the service provider. Rather than fixing a budget on the number of pushes, we consider the cost version of the problem with a fixed deadline and ask for a minimum cost strategy that spreads the rumor to every node. A nonadaptive strategy can only intervene at the beginning and at the end, while an adaptive strategy has full knowledge and intervention capabilities. Our main result is that in the homogeneous case (where every pair of nodes randomly meet at the same rate) the benefit of adaptivity is bounded by a constant. This requires a subtle analysis of the underlying random process that is of interest in its own right.

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Relieving the wireless infrastructure: When opportunistic networks meet guaranteed delays

Cited by 91 publications

References 13 publications

Interest-driven forwarding for delay-tolerant mobile ad hoc networks

Interest-driven forwarding for delay-tolerant mobile ad hoc networks

Optimal rate allocation and scheduling in cooperative streaming

Adaptive Rumor Spreading

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