Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/166007
Title: Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey
Authors: Nguyen Cong Luong;Dinh Thai Hoang;Ping Wang;Dusit Niyato;Dong In Kim;Zhu Han
subject: Wireless sensor networks|M2M communication|economic models|crowdsensing network|IoT|pricing models
Year: 2016
Publisher: IEEE
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.
Description: 
URI: http://localhost/handle/Hannan/166007
ISSN: 1553-877X
volume: 18
issue: 4
More Information: 2546
2590
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7496795.pdf5.93 MBAdobe PDFThumbnail
Preview File
Title: Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey
Authors: Nguyen Cong Luong;Dinh Thai Hoang;Ping Wang;Dusit Niyato;Dong In Kim;Zhu Han
subject: Wireless sensor networks|M2M communication|economic models|crowdsensing network|IoT|pricing models
Year: 2016
Publisher: IEEE
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.
Description: 
URI: http://localhost/handle/Hannan/166007
ISSN: 1553-877X
volume: 18
issue: 4
More Information: 2546
2590
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7496795.pdf5.93 MBAdobe PDFThumbnail
Preview File
Title: Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey
Authors: Nguyen Cong Luong;Dinh Thai Hoang;Ping Wang;Dusit Niyato;Dong In Kim;Zhu Han
subject: Wireless sensor networks|M2M communication|economic models|crowdsensing network|IoT|pricing models
Year: 2016
Publisher: IEEE
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.
Description: 
URI: http://localhost/handle/Hannan/166007
ISSN: 1553-877X
volume: 18
issue: 4
More Information: 2546
2590
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7496795.pdf5.93 MBAdobe PDFThumbnail
Preview File