Paper Info
Title
DiGS: Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks
Abstract
Wireless Sensor-Actuator Networks (WSANs) technology is appealing for use in industrial IoT applications because it does not require wired infrastructure. Battery-powered wireless modules easily and inexpensively retrofit existing sensors and actuators in industrial facilities without running cabling for communication and power. IEEE 802.15.4 based WSANs operate at low-power and can be manufactured inexpensively, which makes them ideal where battery lifetime and costs are important. Almost a decade of real-world deployments of WirelessHART standard has demonstrated the feasibility of using its core techniques including reliable graph routing and Time Slotted Channel Hopping (TSCH) to achieve reliable low-power wireless communication in industrial facilities. Today we are facing the 4th Industrial Revolution as proclaimed by political statements related to the Industry 4.0 Initiative of the German Government. There exists an emerging demand for deploying a large number of field devices in an industrial facility and connecting them through a WSAN. However, a major limitation of current WSAN standards is their limited scalability due to their centralized routing and scheduling that enhance the predictability and visibility of network operations at the cost of scalability. This paper decentralizes the network management in WirelessHART and presents the first Distributed Graph routing and autonomous Scheduling (DiGS) solution that allows the field devices to compute their own graph routes and transmission schedules. Experimental results from two physical testbeds and a simulation study show our approaches can significantly improve the network reliability, latency, and energy efficiency under dynamics.
Year
DOI
Venue
2018
10.1109/ICDCS.2018.00043
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
Keywords
Field
DocType
Wireless Sensor-Actuator Networks,Industrial Internet of Things,Graph Routing,Transmission Scheduling
WirelessHART,Wireless,Efficient energy use,Computer science,Computer network,Network operations center,Schedule,Network management,Routing protocol,Scalability,Distributed computing
Conference
ISSN
ISBN
Citations 
1063-6927
978-1-5386-6872-6
2
PageRank 
References 
Authors
0.39
20
3
Name
Order
Citations
PageRank
Junyang Shi1134.94
Mo Sha225123.52
Zhicheng Yang3707.49