Spectrum-Aware and Energy-Adaptive Reliable Transport for Internet of Sensing Things
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee-inst Electrical Electronics Engineers inc
Open Access Color
BRONZE
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
2
Publicly Funded
No
Abstract
Wireless sensors equipped with cognitive radio, i.e., cognitive radio sensor networks (CRSN), can access the spectrum in an opportunistic manner and coexist with licensed users to mitigate the crowded spectrum problem and provide ubiquitous remote event monitoring and tracking for cyber-physical systems. In this paper, a novel transport layer protocol for CRSN, spectrum-aware energy-adaptive reliable transport protocol is presented to enable energy-adaptive collaborative event sensing in spectrum-scarce cyber-physical systems. To the best of our knowledge, this is the first attempt to specifically devise a reliable event transport scheme for CRSN.
Description
Ergul, Ozgur/0000-0001-9875-1168
ORCID
Keywords
Cognitive Radio Sensor Networks, Distributed Sensing, Opportunistic Spectrum Access, Transport Layer, Engineering; Telecommunications; Transportation, Cognitive radio sensor networks; Distributed sensing; Opportunistic spectrum access; Transport layer, Cognitive radio sensor networks, opportunistic spectrum access, Transportation, transport layer, Opportunistic spectrum access, Distributed sensing, Engineering, distributed sensing, Telecommunications, Transport layer, 4605 Data Management and Data Science, 4606 Distributed Computing and Systems Software, 46 Information and Computing Sciences, 7 Affordable and Clean Energy, 40 Engineering, 9 Industry, Innovation and Infrastructure
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
Biçen, A.O., Ergül, Ö., Akan, O.B. (2018). Spectrum-aware and energy-adaptive reliable transport for internet of sensing things. IEEE Transactions On Vehicular Technology, 67(3), 2359-2366. http://dx.doi.org/10.1109/TVT.2017.2771458
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
9
Source
IEEE Transactions on Vehicular Technology
Volume
67
Issue
3
Start Page
2359
End Page
2366
PlumX Metrics
Citations
CrossRef : 5
Scopus : 10
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Mendeley Readers : 15
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