Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89505
Title: Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models : a survey
Authors: Luong, Nguyen Cong
Hoang, Dinh Thai
Wang, Ping
Niyato, Dusit
Kim, Dong In
Han, Zhu
Keywords: Wireless Sensor Networks
Crowdsensing Network
Issue Date: 2016
Source: Luong, N. C., Hoang, D. T., Wang, P., Niyato, D., Kim, D. I., & Han, Z. (2016). Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models : a survey. IEEE Communications Surveys & Tutorials, 18(4), 2546-2590.
Series/Report no.: IEEE Communications Surveys & Tutorials
Abstract: This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless sensor networks (WSNs) are the main components of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in machine-to-machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.
URI: https://hdl.handle.net/10356/89505
http://hdl.handle.net/10220/44936
ISSN: 1553-877X
DOI: http://dx.doi.org/10.1109/COMST.2016.2582841
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/COMST.2016.2582841].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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