Capacity Enhancement using Throwboxes in DTNs

Zhao, Wenrui; Yang, Chen; Ammar, Mostafa; Corner, Mark; Levine, Brian Neil; Zegura, Ellen

doi:10.1109/mobhoc.2006.278570

Cited by 195 publications

(182 citation statements)

References 19 publications

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“…The two types of scheme: Node-Initialed scheme and Message Ferry-Initiated MF scheme are proposed to improve data delivery and reduce energy assumption. The strategy in [29] makes use of some stationary devices deployed between mobile nodes to facilitate message exchange. Three different scenarios are considered to derive the optimal locations for deployment, which are contact and traffic based case, contact based case and oblivious model.…”

Section: Related Workmentioning

confidence: 99%

“…In this area, named as delay tolerant networks (DTNs), a variety of methods are proposed to achieve message dissemination which include estimating a better forwarder to carry a message or utilizing several copies of a message to speed up the delivery. Inspired by the observation that the primates select locations and leave scents to pass information, some recent works have used the idea of deploying stationary devices to act as pheromone at specific locations [29]. The stationary devices (or thrown boxes) can be small and cheap devices with wireless antennas and limited memory.…”

Section: Introductionmentioning

confidence: 99%

“…They can be deployed quickly for the role of message relay. Issues of enhancing the capacity and optimizing the deployment of these boxes are studied in [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Analysis for bio-inspired thrown-box assisted message dissemination in delay tolerant networks

Hong

Wang

2011

Telecommun Syst

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Inspired by biological communication, the strategy of deploying communication and storage equipment called thrown box is proposed to increase message delivery probability and to reduce transmission latency in delay tolerant networks. In this paper, we study the thrown-box assisted message dissemination models by analyzing a few cases on the message delivery rate and related latency distribution. We divide such communications into two processes. We first model the message delivering process among thrown boxes and derive time related message distribution on the boxes. Then we investigate the message collection process to obtain the expected number of informed collectors as a function of time. In addition, we analyze the latency distribution for message collection. Our analysis is derived based on a discrete Markov Chain model. The numerical examples are provided to validate our model and to examine the features of message dissemination under different network scenarios. The factors such as message relay and lifetime are considered. The results show that the tradeoff exists between the number of the boxes and the message lifetime, etc. In summary, our results will help storage management and delay management in DTNs and provide guidelines for applications of search and surveillance.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis for bio-inspired thrown-box assisted message dissemination in delay tolerant networks

Hong

Wang

2011

Telecommun Syst

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“…Information is forwarded through short-range communication, without resorting to base stations. Each GP is assumed to support a throwbox [18], a storage device with wireless interface, to act as a relay node. When a seed node reaches a GP, it can store information at the throwbox.…”

Section: A Mvm Features and Network Modelmentioning

confidence: 99%

Gathering Point-Aided Viral Marketing in Decentralized Mobile Social Networks

Fan

Leng

Yang

et al. 2018

IEEE Systems Journal

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Abstract-Viral marketing is a technique that spreads advertisement information through social networks. Recently, viral marketing through online social networks has achieved huge commercial success. However, there are still very little research reported on viral marketing in decentralized mobile social networks (MSNs). Comparing with online viral marketing, viral marketing in decentralized MSNs faces many challenges, such as unreliable information diffusion and limited network knowledge.To address these problems, we propose the gathering point-aided mobile viral marketing (GP-MVM) scheme, which contains two major components, i.e., seed selection and information diffusion. Seed selection is responsible to select a set of seed nodes from which information diffusion begins. Based on a new metric called integrated contact strength (ICS), we propose two distributed seed selection schemes, i.e., ratio seeding and threshold seeding, while, for information diffusion, we propose the GP-aided diffusion algorithm, which utilizes user GPs to promote information propagation. Continuous-time Markov chain-based analytical model shows that GP-MVM has a good scalability. Simulations indicate that GP-MVM outperforms two state-of-the-art information diffusion methods designed for MSNs, in terms of both diffusion proportion and diffusion speed.Index Terms-Gathering point (GP), information diffusion, integrated contact strength (ICS), mobile social networks (MSNs), viral marketing.

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“…Stationary relay nodes are fixed devices located at road intersections with store-and-forward capabilities. They allow mobile nodes passing by to pickup and deposit data on them, thus increasing contact opportunities, and contributing to increase bundles delivery ratio while decreasing bundles average delay [5,6]. …”

mentioning

confidence: 99%

Traffic differentiation support in vehicular delay-tolerant networks

2010

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-Vehicular Delay-Tolerant Networking (VDTN) is a Delay-Tolerant Network (DTN) based architecture concept for transit networks, where vehicles movement and their bundle relaying service is opportunistically exploited to enable non-real time applications, under environments prone to connectivity disruptions, network partitions and potentially long delays. In VDTNs, network resources may be limited, for instance due to physical constraints of the network nodes. In order to be able to prioritize applications traffic according to its requirements in such constrained scenarios, traffic differentiation mechanisms must be introduced at the VDTN architecture. This work considers a priority classes of service (CoS) model and investigates how different buffer management strategies can be combined with drop and scheduling policies, to provide strict priority based services, or to provide custom allocation of network resources. The efficiency and tradeoffs of these proposals is evaluated through extensive simulation.2

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Capacity Enhancement using Throwboxes in DTNs

Cited by 195 publications

References 19 publications

Analysis for bio-inspired thrown-box assisted message dissemination in delay tolerant networks

Analysis for bio-inspired thrown-box assisted message dissemination in delay tolerant networks

Gathering Point-Aided Viral Marketing in Decentralized Mobile Social Networks

Traffic differentiation support in vehicular delay-tolerant networks

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