Fair Pricing in Heterogeneous Internet-of-Things Wireless Access Networks Using Crowdsourcing

Haghighatdoost, Vahid; Khorsandi, Siavash; Ahmadi, Hamed

doi:10.1109/jiot.2020.3030881

Cited by 11 publications

(4 citation statements)

References 21 publications

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“…These could be machines, products, equipment, etc., which are located at different and remote locations but well-connected with each other virtually. Such objects and devices, working as physical connecting points and cyber systems, are monitored and controlled by cyber systems [43][44][45]. Technically, the IoT has the capability to self-configure itself with the help of standard and interoperable protocols as this is an active network infrastructure [46].…”

Section: Literature Reviewmentioning

confidence: 99%

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

2022

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The development of tourist destinations has been determined by sustainable energy management and the advancement of traditional methods. The rate of development must adapt to technological innovations while also considering future generations. The present study aims to determine to what extent tourism personnel are aware of the skills, knowledge, and methods for sustainable energy management, and also to analyze the Internet of Things as a technological solution for sustainable energy management at tourism destinations in India with the help of the Servqual method. It is important to implement modern technologies such as internal things and develop a sustainable attitude toward tourism. Findings suggested that over each attribute of Servqual model, reliability, assurance, tangibles, empathy and responsiveness of IoT as sustainable energy management solutions at tourism destinations in India, tourism stakeholders have higher level of expectations (23.41, 19.86, 18.45, 23.60 and 24.73) and perceptions (18.34, 16.50, 14.97, 18.17 and 19.20) followed by tourists expectations (22.10, 17.36, 16.01, 22.62 and 21.87) and perceptions (19.32, 11.75, 09.46, 15.06 and 17.43) and local residents expectations (20.17, 14.61, 14.87, 19.46 and 18.81) and perceptions (13.48, 08.85, 07.73, 13.54 and 12.94), respectively. Results also showed that older generations and traditional tourism destinations are unable to cope with the modern advanced terminology, tools, and management strategies, which makes the present study the most significant about changing the traditional way of energy management and developing tourism destinations as sustainable and responsible.

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Section: Literature Reviewmentioning

confidence: 99%

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

2022

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“…Since, an ML model predicts based on the model developed using the training data, hence the collection of reliable and relevant data is crucial for building an ML model that can predict well. As there can be multiple and independent APs deployed in shared spectrum bands, crowdsourcing is one technique to obtain the wireless KPI data to help facilitate proactive resource allocation [16], [17], [18]. A key metric for efficient data collection in crowdsourcing scenarios, is its data accuracy which relies on the data reported by the deployed agents.…”

Section: Related Workmentioning

confidence: 99%

An Imperfect Monitoring Game-Theoretic Approach for Crowdsourcing Reliable Wireless Data

Javed,

Khan,

Lehtomäki

et al. 2024

IEEE Open J. Commun. Soc.

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Gathering useful and trustworthy wireless data using crowdsourcing to train/validate machine learning (ML) algorithms can be difficult due to two factors: 1) correctness and reliability of the gathered data from various independent wireless access points (APs) can be unknown, and 2) designing a metric that can capture the value of the collected data for the considered model can be a challenge. To address the challenge of reliable data collection, we propose a game-theoretic crowdsourcing-based wireless data collection mechanism that can be used to reliably collect the data. We also propose a metric that can capture the value of the collected data for the considered model. Our proposed method provides protection against selfish deviations and unlike other game-theoretic works does not make an assumption that the actions of the crowdsourcing agent APs are known to the crowdsourcing entity. We consider a technique that can be used to infer the actions of agent APs and propose that the participants utilize the n-round Win-stay lose shift (WSLS) strategy. In our work, we compare the performance of the proposed strategy against various other game-theoretic strategies, such as always high, always low, WSLS with probability p, and tit for tat. In our performance evaluation, we utilize both real and synthetic wireless channel utilization data. Our results show that the n-round WSLS strategy outperforms the other game-theoretic strategies.

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“…Haghighatdoost [120] presented a method based on crowdsourcing for determining fair pricing of wireless service in the IoT. The authors focused on an oligopoly where the regulation dynamically establishes a maximum permitted cost of service to avoid anti-trust conduct and unfair policy of pricing services.…”

Section: Finance Budget and Pricingmentioning

confidence: 99%

Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications

2022

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Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums. This paper presents a comprehensive survey for this new Crowdsourcing IoT paradigm from four different perspectives: (1) Architectures for Crowd-IoT; (2) Trustworthy, Privacy and Security for Crowd-IoT; (3) Resources, Sharing, Storage and Energy Considerations for Crowd-IoT; and (4) Applications for Crowd-IoT. This survey paper aims to increase awareness and encourage continuing developments and innovations from the research community and industry towards the Crowdsourcing IoT paradigm.

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Fair Pricing in Heterogeneous Internet-of-Things Wireless Access Networks Using Crowdsourcing

Cited by 11 publications

References 21 publications

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India

An Imperfect Monitoring Game-Theoretic Approach for Crowdsourcing Reliable Wireless Data

Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications

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