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Escalator: An autonomous scheduling scheme for convergecast in TSCHoa mark
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Publication Year
2018-04-16
Publisher
MDPI AG
Citation
Sensors (Switzerland), Vol.18
Keyword
Autonomous schedulingConvergecastRPLTSCHWireless sensor network
Mesh Keyword
Autonomous schedulingChannel schedulingConvergecastIndustrial wireless sensor networksPacket delivery ratioPacket forwarding pathsPacket transmission delaysTSCH
All Science Classification Codes (ASJC)
Analytical ChemistryBiochemistryAtomic and Molecular Physics, and OpticsInstrumentationElectrical and Electronic Engineering
Abstract
Time Slotted Channel Hopping (TSCH) is widely used in the industrial wireless sensor networks due to its high reliability and energy efficiency. Various timeslot and channel scheduling schemes have been proposed for achieving high reliability and energy efficiency for TSCH networks. Recently proposed autonomous scheduling schemes provide flexible timeslot scheduling based on the routing topology, but do not take into account the network traffic and packet forwarding delays. In this paper, we propose an autonomous scheduling scheme for convergecast in TSCH networks with RPL as a routing protocol, named Escalator. Escalator generates a consecutive timeslot schedule along the packet forwarding path to minimize the packet transmission delay. The schedule is generated autonomously by utilizing only the local routing topology information without any additional signaling with other nodes. The generated schedule is guaranteed to be conflict-free, in that all nodes in the network could transmit packets to the sink in every slotframe cycle. We implement Escalator and evaluate its performance with existing autonomous scheduling schemes through a testbed and simulation. Experimental results show that the proposed Escalator has lower end-to-end delay and higher packet delivery ratio compared to the existing schemes regardless of the network topology.
ISSN
1424-8220
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30186
DOI
https://doi.org/10.3390/s18041209
Fulltext

Type
Article
Funding
Acknowledgments: This work was supported by the Technology development Program (C0511664) funded by the Ministry of SMEs and Startups (MSS, Korea).
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Kim, Ki-Hyung 김기형
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