INDAPSON: An incentive data plan sharing system based on self-organizing network

Yu, Tuo; Zhou, Zilong; Zhang, Da; Wang, Xinbing; Liu, Yunxin; Lu, Songwu

doi:10.1109/infocom.2014.6848090

Cited by 50 publications

(32 citation statements)

References 14 publications

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“…However, decision making is myopic, i.e., devices do not estimate future states while taking actions. In a similar fashion, [3] propose a scheme for sharing 3G services via WiFi hotspots using a heuristic scheme that possesses some attractive properties. Here too, decision making is myopic.…”

Section: A Related Workmentioning

confidence: 99%

“…We asume the existence of a currency (either internal or a monetary value) that can be used to transfer utility between agents [2], [3]. In our system, a negative transfer is a price paid by the agent, while a positive value indicates that the agent is paid by the system.…”

Section: E Transfersmentioning

confidence: 99%

“…As in earlier literature, we assume that there exists a currency to transfer utility between agents [2], [3], and our goal is to determine how much should be transferred for optimal collaboration. We focus on wireless content streaming as our motivating example.…”

Section: Introductionmentioning

confidence: 99%

“…Our analysis is essentially unchanged when there are a random but finite number of devices in each cluster 3. We will discuss this at the end of Section VI-A.…”

mentioning

confidence: 99%

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Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective

Bhattacharyya

Paul

et al. 2017

IEEE/ACM Trans. Networking

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We consider the problem of streaming live content to a cluster of co-located wireless devices that have both an expensive unicast base-station-to-device (B2D) interface, as well as an inexpensive broadcast device-to-device (D2D) interface, which can be used simultaneously. Our setting is a streaming system that uses a block-by-block random linear coding approach to achieve a target percentage of on-time deliveries with minimal B2D usage. Our goal is to design an incentive framework that would promote such cooperation across devices, while ensuring good quality of service. Based on the ideas drawn from truthtelling auctions, we design a mechanism that achieves this goal via appropriate transfers (monetary payments or rebates) in a setting with a large number of devices, and with peer arrivals and departures. Here, we show that a mean field game can be used to accurately approximate our system. Furthermore, the complexity of calculating the best responses under this regime is low. We implement the proposed system on an Android testbed, and illustrate its efficient performance using real world experiments.

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Section: A Related Workmentioning

confidence: 99%

Section: E Transfersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Our analysis is essentially unchanged when there are a random but finite number of devices in each cluster 3. We will discuss this at the end of Section VI-A.…”

mentioning

confidence: 99%

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Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective

Bhattacharyya

Paul

et al. 2017

IEEE/ACM Trans. Networking

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“…Unlike our work, focuses on prefetching decisions. In addition, [5] proposes a system for data plan sharing among users with limitedquota data plans. The system targets smartphone users with dynamic network usage, where users may over/underuse their data plans.…”

Section: Related Workmentioning

confidence: 99%

Optimal Relay Selection and Data Forwarding Strategies for Secure Mobile Health Monitoring Services

2017

IJMTER

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Abstract-The Wireless Body Area Networks (WBAN) are used to support health monitoring services. The mobile health services are provided to assist health care monitoring services. The Light-weight and Robust Security-Aware (LRSA) D2D-assist data transmission protocol is constructed for M-Health systems. The Certificateless Generalized Signcryption (CLGSC) technique is employed to provide the security for the D2D data communication. The CLGSC scheme integrates the signcryption, signature and encryption with in single channel. The mobile health system is build with three elements Network Manager (NM), WBAN Client and Medical Service Provider. The network manager handles the initialization and key generation operations for the WBAN clients and Medical Service Providers. The mobile health service security scheme is enhanced with optimal relay selection and data forwarding policies. The medical data aggregation based query processing is supported in the system. Event detection and decision support operations are integrated with the system. Priority level based data forwarding operations are initiated to control the data transmission overhead. Node anonymization and data privacy features are combined to improve the security process. The data cache and replica schemes are also integrated with the system to support efficient data communication tasks.

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On Trust, Blockchain, and Reputation Systems

Rodrigues

Franco²,

Killer³

et al. 2022

Handbook on Blockchain

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INDAPSON: An incentive data plan sharing system based on self-organizing network

Cited by 50 publications

References 14 publications

Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective

Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective

Optimal Relay Selection and Data Forwarding Strategies for Secure Mobile Health Monitoring Services

On Trust, Blockchain, and Reputation Systems

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