NDLI: A Delay Sensitive Time Slots Scheduling in Vehicular Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Chen Chen Xiaolu Wei Yanan Jin Shengjin Ge
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Integrated Services Networks, Xidian Univ., Xi'an, China (Chen Chen; Xiaolu Wei; Yanan Jin) \|\| CCCC First Highway Consultants Co. Ltd., Xi'an, China (Shengjin Ge)
Abstract	In Vehicular communication networks, a robust access mechanism is essential for the successful information exchange between vehicles and roadside unit, which keeps the vehicles being aware of surroundings thus improving driving safety and reduce traffic jam. In this paper, we first analyze the drawbacks of explicit GTS (Guaranteed Time Slots) allocation suggested by IEEE 802.15.4 draft and show the importance of a wise assignment scheme and efficient scheduler especially for high dynamic vehicular environment. Then, for a given number of vehicles requesting to access the roadside unit, we propose a Time-Sensitive Weighted Round Robin scheduler (TS-WRR) considering different service delay requirements, packets arrival rates and vehicles' mobility levels. We also show the elaborate implementation procedure of TS-WRR by pseudocode. Numerical results show that our TS-WRR scheduler outperforms FCFS and WRR on the performance of transactions delay requirements guarantee and GTS utilization ratio in Vehicular Sensor Networks.
Sponsorship	IEEE Syst. Man Cybern.
Starting Page	448
Ending Page	455
File Size	339338
Page Count	8
File Format	PDF
ISBN	9780769549880
DOI	10.1109/INCoS.2013.84
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weighted round-robin IEEE 802.15 Standards Delay sensitive scheduling Bandwidth GTS allocation Real-time systems Delays Resource management Round robin Vehicular Sensor Networks Vehicles
Content Type	Text
Resource Type	Article

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