Fuzzy based Channel Selection for Location Oriented Services in Multichannel VCPS Environments

Reena Kasana, Sushil Kumar, Omprakash Kaiwartya, Rupak Kharel, Jaime Lloret, Nauman Aslam, Tong Wang

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
8 Downloads (Pure)


Recently, location-oriented services in Vehicular Cyber-Physical System (VCPS) have witnessed significant attention due to their potentiality to address traffic related issues towards on-road safety and efficiency. The multichannel communication aids these services by tuning their overall performance in vehicular environments. The literature on multichannel communication is based 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 (F-CSMV). Specifically, a system model is presented for deriving channel access delay using Markov chain model. The channel quality is estimated using channel access delay (CAD) and signal-to-interference ratio (SIR). The fuzzy logic based channel selection framework is developed focusing on 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 considering channel and network performance-related metrics in VCPS environments.
Original languageEnglish
Pages (from-to)4642-4651
JournalIEEE Internet of Things Journal
Issue number6
Early online date23 Jan 2018
Publication statusPublished - Dec 2018


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