Data collection for mobile crowdsensing in the presence of selfishness

Liu, Jieyan; Bic, Lubomir; Gong, Haigang; Zhan, Siyu

doi:10.1186/s13638-016-0580-x

Cited by 9 publications

(7 citation statements)

References 25 publications

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“…In this approach, a node having a strong social relationship in a community can take part in data forwarding for other nodes. Lui et al 46 proposed an incentive scheme to share information that is related to a road accident, road construction and delay in traffic, and so on. Fawaz et al 47 proposed unmanned aerial vehicles (UAVs) scheme to encourage vehicles for cooperation.…”

Section: Related Workmentioning

confidence: 99%

Honesty based democratic scheme to improve community cooperation for Internet of Things based vehicular delay tolerant networks

Rehman

Ghani

Zubair

et al. 2020

Trans Emerging Tel Tech

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Many Internet of Things (IoT) applications have been developed and implemented on unreliable wireless networks like the delay tolerant network (DTN); however, efficient data transfer in DTN is still an important issue for the IoT applications. One of the application areas of DTN is vehicular delay tolerant network (VDTN) where the network faces communication disruption due to lack of end‐to‐end relay route. It is challenging as some of the nodes show selfish behavior to preserve their resources like memory and energy and become noncooperative. In this article, an honesty‐based democratic scheme (HBDS) is introduced where vehicles with higher honesty level are elected as heads—during the process. Vehicles involved in the process would maximize their rewards (reputation) through active participation in the network activities, whereas vehicles with noncooperative selfish behavior are punished. The honesty level of the heads is analyzed using Vickrey, Clarke, and Groves (VCG) model. The mathematical model and algorithms developed in the proposed HBDS technique are simulated using the VDTNSim framework to evaluate their efficiency. The performance results show that the proposed scheme dominates current schemes in terms of packet delivery probability, packet delivery delay, number of packets drop, and overhead ratio.

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Section: Related Workmentioning

confidence: 99%

Honesty based democratic scheme to improve community cooperation for Internet of Things based vehicular delay tolerant networks

Rehman

Ghani

Zubair

et al. 2020

Trans Emerging Tel Tech

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“…The feasibility of several DTN data routing approaches, including epidemic routing, PROPHET, spray and wait, profile-cast, and opportunistic geocast, are investigated, and comprehensive analysis of their performance is provided. Reference [20] proposes an Accept aNd Tolerate (ANT) routing protocol to implement data collection in a social environment with selfish individuals. Besides the devices' contact caused by mobility, it also considers the devices' willingness to cooperate in devices selection.…”

Section: Related Workmentioning

confidence: 99%

Optimal Data Collection for Mobile Crowdsensing Over Integrated Cellular and Opportunistic Networks

2020

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One of the main challenges that mobile crowdsensing systems must solve is reducing data collection costs while still holding high data delivery probability. Compared with cellular networks, opportunistic networks can significantly reduce data transfer costs at the cost of damaging data delivery probability. This paper proposes an optimal data collection scheme for mobile crowdsensing, which utilizes integrated cellular and opportunistic networks to implement data collection. We use data collecting path to describe how the sensing data are collected and sent to the back-end platform, though cellular networks directly or through multi-hop opportunistic networks. An optimal data collection problem is then formulated as choosing specific data collecting paths from candidate path set to minimize the total crowdsensing cost under the data delivery constraints, which can be considered as a minimum set covering problem. To solve this NP-hard problem, we design and implement a greedy heuristic algorithm that constructs the solution in multiple steps by making a locally optimal decision in each step. We conduct extensive simulations based on three real-world traces: Cambridge, Infocom06, and UPB. The results show that, compared with other data collection approaches, our approach achieves a better tradeoff between cost and data delivery.INDEX TERMS Data collection, mobile crowdsensing, opportunistic networks, cellular networks.

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“…In a social community, the nodes having a strong social relationship are likely willing to forward messages to one another in a network. Liu et al [27] uses an incentive scheme to share nodes information in the vehicular social network. The information shared is related to road accidents, construction of roads, and traffic delays.…”

Section: Related Workmentioning

confidence: 99%

IPS: Incentive and Punishment Scheme for Omitting Selfishness in the Internet of Vehicles (Iov)

Rehman¹,

Ghani

Zubair³

et al. 2019

IEEE Access

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Internet of Vehicles (IoV) is a new emerging concept and is an extended notion of Vehicular Ad-hoc networks (VANETs). In IoV the vehicles (nodes) are connected to the internet and able to transmit information. However, due to resources constraint nature of vehicles, they may not want to cooperate in order to save its own resources such as memory, energy, and buffer, etc. This behavior may lead to poor system performance. IoV needs an efficient solution to motivate the nodes in terms of cooperation to avoid selfish behavior. A novel mechanism Incentive and Punishment Scheme (IPS) has been proposed in this article where vehicles with higher weight and cooperation are elected as Heads during the election process. Vickrey, Clarke, and Groves (VCG) model has been used to scrutinize the weight of these heads. Vehicle participating in the election process can increase its incentives (reputation) by active participation (forwarding data). Vehicles with repeated selfish behavior are punished. The monitoring nodes monitor the performance of their neighbor nodes after the election process. A mathematical model and algorithms has been developed for the election, monitoring and incentive processes. The proposed approach has been simulated through VDTNSim environment to analyze the performance of the proposed IPS. The performance results demonstrate that the proposed schemes outperform the existing schemes in terms of packet delivery ratio, average delivery delay, average cost, and overhead. INDEX TERMS Internet of vehicles, smart objects, VCG model, selfish behavior, incentive techniques.

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Data collection for mobile crowdsensing in the presence of selfishness

Cited by 9 publications

References 25 publications

Honesty based democratic scheme to improve community cooperation for Internet of Things based vehicular delay tolerant networks

Honesty based democratic scheme to improve community cooperation for Internet of Things based vehicular delay tolerant networks

Optimal Data Collection for Mobile Crowdsensing Over Integrated Cellular and Opportunistic Networks

IPS: Incentive and Punishment Scheme for Omitting Selfishness in the Internet of Vehicles (Iov)

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