Mobile Peer-to-Peer Data Dissemination with Resource Constraints

Wolfson, Ouri; Xu, Bo; Tanner, R.M.

doi:10.1109/mdm.2007.12

Cited by 43 publications

(38 citation statements)

References 14 publications

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“…Wolfson et al [2] suggested there are three resource constraints in mobile P2P: bandwidth, energy, and storage. This means 1) a node with instable wireless bandwidth cannot maintain the quality of the forwarded stream high, while a node with narrow wireless bandwidth can forward the stream at the limited rate; 2) mobile nodes easily disconnect from the service because of running out the batteries and poor wireless channels.…”

Section: Discussion: Remaining Issues In Mobile P2pmentioning

confidence: 99%

“…Particularly, in this paper, we consider how nodes in P2P multicast services will be required to forward data or streams to other nodes. In general, mobile users feel much larger psychological cost due to strict limitations on bandwidth, processing power, memory capacity, and battery life, and they want to minimize their contributions to these services [2]. Therefore, the issue of how we can reduce this psychological cost remains.…”

Section: Introductionmentioning

confidence: 99%

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Social Network Based P2P Multicast Reducing Psychological Forwarding Cost in Mobile Networks

Kubo

Shinkuma

Takahashi

2010

IEICE Trans. Inf. & Syst.

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SUMMARYThe demand for data/audio streaming/video streaming multicast services in large scale networks has been increasing. Moreover, the improved transmission speed and mobile-device capability in wireless access networks enable people to use such services via their personal mobile devices. Peer-to-peer (P2P) architecture ensures scalability and robustness more easily and more economically than server-client architecture; as the number of nodes in a P2P network increases, the amount of workload per node decreases and lessens the impact of node failure. However, mobile users feel much larger psychological cost due to strict limitations on bandwidth, processing power, memory capacity, and battery life, and they want to minimize their contributions to these services. Therefore, the issue of how we can reduce this psychological cost remains. In this paper, we consider how effective a social networking service is as a platform for mobile P2P multicast. We model users' cooperative behaviors in mobile P2P multicast streaming, and propose a social-network based P2P streaming architecture for mobile networks. We also measured the psychological forwarding cost of real users in mobile P2P multicast streaming through an emulation experiment, and verify that our social-network based mobile P2P multicast streaming improves service quality by reducing the psychological forwarding cost using multi-agent simulation.

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Section: Discussion: Remaining Issues In Mobile P2pmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Social Network Based P2P Multicast Reducing Psychological Forwarding Cost in Mobile Networks

Kubo

Shinkuma

Takahashi

2010

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

show abstract

“…The underlying motives are also varied depending on the application domain and individual system requirements and/or constraints. In some domains, the selection of sources might be constrained in certain ways (e.g., cost, energy, timely decisions) [48]. Approaches that operate under resource constraints often resort to the use of a subset of the source population.…”

Section: Related Workmentioning

confidence: 99%

How to trust a few among many

Etuk

Norman

źEnsoy

et al. 2016

Auton Agent Multi-Agent Syst

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The presence of numerous and disparate information sources available to support decision-making calls for efficient methods of harnessing their potential. Information sources may be unreliable, and misleading reports can affect decisions. Existing trust and reputation mechanisms typically rely on reports from as many sources as possible to mitigate the influence of misleading reports on decisions. In the real world, however, it is often the case that querying information sources can be costly in terms of energy, bandwidth, delay overheads, and other constraints. We present a model of source selection and fusion in resource-constrained environments, where there is uncertainty regarding the trustworthiness of sources. We exploit diversity among sources to stratify them into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of certain biases. Through controlled experiments, we demonstrate that a diversity-based approach is robust to biases introduced due to dependencies among source reports, performs significantly better than existing approaches when sampling budget is limited and equally as good with an unlimited budget.

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“…peers joining and leaving). Also, techniques have been developed (Wolfson et al, 2007) that explicitly take into account resource constraints like limited energy, communication bandwidth and storage of devices in a mobile ad-hoc environment. For our purpose, we are particular interested in disseminator peers, which take full responsibility for context distribution in this architecture.…”

Section: Architecturementioning

confidence: 99%

Context-Based Grouping and Recommendation in MANETs

Vanrompay

Pinheiro

Mustapha

et al. 2013

Intelligent Technologies and Techniques for Pervasive Computing

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We propose in this chapter a context grouping mechanism for context distribution over MANETs. Context distribution is becoming a key aspect for successful context-aware applications in mobile and ubiquitous computing environments. Such applications need, for adaptation purposes, context information that is acquired by multiple context sensors distributed over the environment. Nevertheless, applications are not interested in all available context information. Context distribution mechanisms have to cope with the dynamicity that characterizes MANETs and also prevent context information to be delivered to nodes (and applications) that are not interested in it. Our grouping mechanism organizes the distribution of context information in groups whose definition is context based: each context group is defined based on a criteria set (e.g. the shared location and interest) and has a dissemination set, which controls the information that can be shared in the group. We propose a personalized and dynamic way of defining and joining groups by providing a lattice-based classification and recommendation mechanism that analyzes the interrelations between groups and users, and recommend new groups to users, based on the interests and preferences of the user.

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Mobile Peer-to-Peer Data Dissemination with Resource Constraints

Abstract: Peer-to-peer

Cited by 43 publications

References 14 publications

Social Network Based P2P Multicast Reducing Psychological Forwarding Cost in Mobile Networks

Social Network Based P2P Multicast Reducing Psychological Forwarding Cost in Mobile Networks

How to trust a few among many

Context-Based Grouping and Recommendation in MANETs

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