About: Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach
Creator	Fang, • Hu, Jiahui Qian, Qing Wu, Sizhu Xie, •
Source	Medline; PMC
abstract	As the development of information and communication technology (ICT) and the affirmation of the importance of healthcare, using wireless sensor networks (WSNs) is a promising approach to assist modern medical practices. The transmission optimization of HWSNs is an issue worth studying deeply, which is facing challenges such as data diversity, real-time requirement, reliable transmission, dynamic environment and so on. This paper considers four kinds of transmission cost comprehensively, and adopts the stochastic differential game theory to discuss this issue. With the objective of minimizing the transmission cost, three kinds of game models are constructed, i.e., cooperative model, partial cooperative model and non-cooperative model. The optimal transmission strategies under different game modes are obtained for HWSNs. The numerical simulation compares three strategies and verifies the validity of the method present in this paper.
has issue date	2016-05-13(xsd:dateTime)
bibo:doi	10.1007/s11277-016-3316-7
bibo:pmid	32214682
has license	no-cc
sha1sum (hex)	8b7fdbc5f19f19925e5ace57205f99f094f48f31
schema:url	https://doi.org/10.1007/s11277-016-3316-7
resource representing a document's title	Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach
has PubMed Central identifier	PMC7088864
has PubMed identifier	32214682
schema:publication	Wirel Pers Commun
resource representing a document's body	covid:8b7fdbc5f19f19925e5ace57205f99f094f48f31#body_text
is schema:about of	named entity 'DIFFERENTIAL' named entity 'GAME' named entity 'DATA TRANSMISSION' named entity 'VALIDITY' named entity 'APPROACH' named entity 'PRESENT' named entity 'STRATEGIES' named entity 'TO DISCUSS' named entity 'MODELS' named entity 'ASSIST' named entity 'PAPER' named entity 'WIRELESS SENSOR NETWORKS' named entity 'WIRELESS SENSOR NETWORKS' named entity 'INFORMATION AND COMMUNICATION' named entity 'REAL-TIME' named entity 'MODEL' named entity 'COST' named entity 'OPTIMAL' named entity 'TRANSMISSION' named entity 'HEALTHCARE' named entity 'RELIABLE' named entity 'DATA' named entity 'KINDS' named entity 'ENVIRONMENT' named entity 'OBTAINED' named entity 'CHALLENGES' named entity 'PRACTICES' named entity 'OPTIMAL' named entity 'WORTH' named entity 'COOPERATIVE' named entity 'DEVELOPMENT' named entity 'ISSUE' named entity 'DYNAMIC' covid:arg/8b7fdbc5f19f19925e5ace57205f99f094f48f31 named entity 'NON-' named entity 'PARTIAL' named entity 'STOCHASTIC' named entity 'APPROACH' named entity 'BASED' named entity 'HEALTHCARE' named entity 'DEEPLY' named entity 'DIFFERENTIAL' named entity 'OPTIMIZATION' named entity 'COMMUNICATION TECHNOLOGY' named entity 'DIVERSITY' named entity 'GAME THEORY' named entity 'NUMERICAL SIMULATION' named entity 'STOCHASTIC' named entity 'REQUIREMENT' named entity 'IS A' named entity 'METHOD' named entity 'USING' named entity 'OBJECTIVE' named entity 'DIFFERENT' named entity 'MEDICAL' named entity 'GAME' named entity 'STRATEGY' named entity 'CONSTRUCTED' named entity 'information and communication technology' named entity 'reliable transmission' named entity 'ICT' named entity 'Differential Game' named entity 'WSNs' named entity 'stochastic differential' named entity 'game theory' named entity 'numerical simulation' named entity 'modern medical practices' named entity 'wireless sensor networks' named entity 'Wireless Sensor Networks'
is wasQuotedFrom of	covid:arg/8b7fdbc5f19f19925e5ace57205f99f094f48f31/0
is part of of	covid:8b7fdbc5f19f19925e5ace57205f99f094f48f31#body_text As the development of information and communication technology (ICT) and the affirmation of the importance of healthcare, using wireless sensor networks (WSNs) is a promising approach to assist modern medical practices. The transmission optimization of HWSNs is an issue worth studying deeply, which is facing challenges such as data diversity, real-time requirement, reliable transmission, dynamic environment and so on. This paper considers four kinds of transmission cost comprehensively, and adopts the stochastic differential game theory to discuss this issue. With the objective of minimizing the transmission cost, three kinds of game models are constructed, i.e., cooperative model, partial cooperative model and non-cooperative model. The optimal transmission strategies under different game modes are obtained for HWSNs. The numerical simulation compares three strategies and verifies the validity of the method present in this paper. Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach

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