TY - JOUR
T1 - Fuzzy-Based Channel Selection for Location Oriented Services in Multichannel VCPS Environments
AU - Kasana, Reena
AU - Kumar, Sushil
AU - Kaiwartya, Omprakash
AU - Kharel, Rupak
AU - Lloret, Jaime
AU - Aslam, Nauman
AU - Wang, Tong
N1 - Funding Information:
Manuscript received September 1, 2017; revised December 6, 2017; accepted January 12, 2018. Date of publication January 23, 2018; date of current version January 16, 2019. This work was supported by the gLINK Project through Northumbria University, U.K., under EU Grant 2014-0861/001-001-EM Action 2-Partnerships. (Corresponding author: Omprakash Kaiwartya.) R. Kasana and S. Kumar are with the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2014 IEEE.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Location-oriented services in vehicular cyber-physical system (VCPS) have witnessed significant attention due to their potentiality to address traffic safety and efficiency related issues. The multichannel communication aids these services by tuning their overall performance in vehicular environments. Related literature on multichannel communication focuses on interference as channel quality measure. However, uncertain mobility and density of vehicles significantly affect channel quality apart from interference. The static quantification of channel quality is not suitable due to the dynamic characteristics of the channel quality parameters. In this context, this paper proposes fuzzy-based channel selection framework for location-oriented services in multichannel VCPS environments. A system model is presented for deriving channel access delay (CAD) using Markov chain model. The channel quality is estimated using CAD and signal-to-interference ratio (SIR). The fuzzy logic-based channel selection framework is developed considering fuzzification and defuzzification of CAD and SIR. The comparative performance evaluation attests the benefit of the framework as compared to the state-of-the-art techniques in VCPS.
AB - Location-oriented services in vehicular cyber-physical system (VCPS) have witnessed significant attention due to their potentiality to address traffic safety and efficiency related issues. The multichannel communication aids these services by tuning their overall performance in vehicular environments. Related literature on multichannel communication focuses on interference as channel quality measure. However, uncertain mobility and density of vehicles significantly affect channel quality apart from interference. The static quantification of channel quality is not suitable due to the dynamic characteristics of the channel quality parameters. In this context, this paper proposes fuzzy-based channel selection framework for location-oriented services in multichannel VCPS environments. A system model is presented for deriving channel access delay (CAD) using Markov chain model. The channel quality is estimated using CAD and signal-to-interference ratio (SIR). The fuzzy logic-based channel selection framework is developed considering fuzzification and defuzzification of CAD and SIR. The comparative performance evaluation attests the benefit of the framework as compared to the state-of-the-art techniques in VCPS.
KW - Fuzzy
KW - Location service
KW - Vehicular cyber-physical system (VCPS)
KW - Vehicular network
UR - http://www.scopus.com/inward/record.url?scp=85041004735&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2018.2796639
DO - 10.1109/JIOT.2018.2796639
M3 - Article
AN - SCOPUS:85041004735
VL - 5
SP - 4642
EP - 4651
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
SN - 2327-4662
IS - 6
M1 - 8267039
ER -
