CAIS: A Copy Adjustable Incentive Scheme in Community-Based Socially Aware Networking

Ning, Zhaolong; Liu, Li; Xia, Feng; Jedari, Behrouz; Lee, Ivan; Zhang, Weishan

doi:10.1109/tvt.2016.2593051

Cited by 110 publications

(49 citation statements)

References 36 publications

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“…The users are encouraged to forward and receive packets with the incentive to increase their coins. Existing work [42][43][44][45] has proved this mechanism is effective in crowdsourcing tasks and ad hoc networks. However, they are not suitable for the privacy-preserving requirements of vehicular announcement networks.…”

Section: A Basic Ideamentioning

confidence: 99%

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

Liu

Cheng

et al. 2018

IEEE Trans. Intell. Transport. Syst.

455

224

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Section: A Basic Ideamentioning

confidence: 99%

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

Liu

Cheng

et al. 2018

IEEE Trans. Intell. Transport. Syst.

455

224

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“…Reddy et al in [8] designed a novel routing protocol to solve the survivability protection problem against multi-path failures within a minimum packet redundancy restriction. References [9][10][11][12][13] focus on fault-tolerant issues while considering node placement, topology control, and the routing algorithm. Regarding the design of survivability mechanisms in wireless multi-hop networks, researchers have conducted exploratory work with various optimization objectives during the past few years.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Network Coding-Based Fault-Tolerant Mechanism in WBAN for Smart Healthcare Monitoring Systems

et al. 2017

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Abstract:As a key technology in smart healthcare monitoring systems, wireless body area networks (WBANs) can pre-embed sensors and sinks on body surface or inside bodies for collecting different vital signs parameters, such as human Electrocardiograph (ECG), Electroencephalograph (EEG), Electromyogram (EMG), body temperature, blood pressure, blood sugar, blood oxygen, etc. Using real-time online healthcare, patients can be tracked and monitored in normal or emergency conditions at their homes, hospital rooms, and in Intensive Care Units (ICUs). In particular, the reliability and effectiveness of the packets transmission will be directly related to the timely rescue of critically ill patients with life-threatening injuries. However, traditional fault-tolerant schemes either have the deficiency of underutilised resources or react too slowly to failures. In future healthcare systems, the medical Internet of Things (IoT) for real-time monitoring can integrate sensor networks, cloud computing, and big data techniques to address these problems. It can collect and send patient's vital parameter signal and safety monitoring information to intelligent terminals and enhance transmission reliability and efficiency. Therefore, this paper presents a design in healthcare monitoring systems for a proactive reliable data transmission mechanism with resilience requirements in a many-to-one stream model. This Network Coding-based Fault-tolerant Mechanism (NCFM) first proposes a greedy grouping algorithm to divide the topology into small logical units; it then constructs a spanning tree based on random linear network coding to generate linearly independent coding combinations. Numerical results indicate that this transmission scheme works better than traditional methods in reducing the probability of packet loss, the resource redundant rate, and average delay, and can increase the effective throughput rate.

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“…However, mobile devices are facing some limitations on various resources, for example, computation, memory, and energy [4][5][6]. To overcome these limitations, mobile cloud computing has become a promising solution to enable mobile devices to use cloud server resources via wireless communications and networking [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Optimal Computing Resource Management Based on Utility Maximization in Mobile Crowdsourcing

Meng

Zhu

Deng

2017

Wireless Communications and Mobile Computing

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Mobile crowdsourcing, as an emerging service paradigm, enables the computing resource requestor (CRR) to outsource computation tasks to each computing resource provider (CRP). Considering the importance of pricing as an essential incentive to coordinate the real-time interaction among the CRR and CRPs, in this paper, we propose an optimal real-time pricing strategy for computing resource management in mobile crowdsourcing. Firstly, we analytically model the CRR and CRPs behaviors in form of carefully selected utility and cost functions, based on concepts from microeconomics. Secondly, we propose a distributed algorithm through the exchange of control messages, which contain the information of computing resource demand/supply and real-time prices. We show that there exist real-time prices that can align individual optimality with systematic optimality. Finally, we also take account of the interaction among CRPs and formulate the computing resource management as a game with Nash equilibrium achievable via best response. Simulation results demonstrate that the proposed distributed algorithm can potentially benefit both the CRR and CRPs. The coordinator in mobile crowdsourcing can thus use the optimal real-time pricing strategy to manage computing resources towards the benefit of the overall system.

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CAIS: A Copy Adjustable Incentive Scheme in Community-Based Socially Aware Networking

Cited by 110 publications

References 36 publications

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

An Efficient Network Coding-Based Fault-Tolerant Mechanism in WBAN for Smart Healthcare Monitoring Systems

Optimal Computing Resource Management Based on Utility Maximization in Mobile Crowdsourcing

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