GALLOP: toward high-performance connectivity for closing control loops over multi-hop wireless networks

Various legacy and emerging industrial applications require closed-loop control over multiple hops. Existing multi-hop wireless technologies do not completely fulfill the stringent requirements of closed-loop control. This paper proposes a novel wireless solution, termed as GALLOP, for closed-loop control over multi-hop networks. GALLOP adopts a pragmatic approach for tackling the peculiarities of closed-loop control. Key aspects of GALLOP design include control-aware multi-hop scheduling for cyclic information exchange with very low and deterministic latency, cooperative transmissions for very high reliability and low-overhead signaling mechanism for scalable operation in large-scale networks. GALLOP has been specifically designed for control loops closed over the whole multi-hop network with dynamics on the order of few milliseconds. Performance evaluation through hardware implementation on a Bluetooth 5 testbed and system-level simulations demonstrate the viability of GALLOP in providing high-performance connectivity as required by closed-loop control applications.

[1]  Lars Thiele,et al.  Wireless Communication for Factory Automation: an opportunity for LTE and 5G systems , 2016, IEEE Communications Magazine.

[2]  Thomas Watteyne,et al.  Constructive Interference in 802.15.4: A Tutorial , 2019, IEEE Communications Surveys & Tutorials.

[3]  Aggeliki Sgora,et al.  A Survey of TDMA Scheduling Schemes in Wireless Multihop Networks , 2015, ACM Comput. Surv..

[4]  Lothar Thiele,et al.  Efficient network flooding and time synchronization with Glossy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[5]  Maria Domenica Di Benedetto,et al.  Optimal co-design of control, scheduling and routing in multi-hop control networks , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[6]  Mahesh Sooriyabandara,et al.  Demo Abstract: Toward Real-Time Wireless Control of Mobile Platforms for Future Industrial Systems , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[7]  Adnan Aijaz ${\mathsf{ENCLOSE}}$: An Enhanced Wireless Interface for Communication in Factory Automation Networks , 2018, IEEE Transactions on Industrial Informatics.

[8]  Lothar Thiele,et al.  Low-power wireless bus , 2012, SenSys '12.

[9]  Sekhar Tatikonda,et al.  Control under communication constraints , 2004, IEEE Transactions on Automatic Control.

[10]  Sanjay Kumar Madria,et al.  DistributedHART: A Distributed Real-Time Scheduling System for WirelessHART Networks , 2019, 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).

[11]  Panganamala Ramana Kumar,et al.  Optimizing controller location in networked control systems with packet drops , 2008, IEEE Journal on Selected Areas in Communications.

[12]  Chenyang Lu,et al.  A Flexible Retransmission Policy for Industrial Wireless Sensor Actuator Networks , 2018, 2018 IEEE International Conference on Industrial Internet (ICII).

[13]  Yixin Chen,et al.  Real-Time Scheduling for WirelessHART Networks , 2010, 2010 31st IEEE Real-Time Systems Symposium.

[14]  Lothar Thiele,et al.  Adaptive Real-Time Communication for Wireless Cyber-Physical Systems , 2017, ACM Trans. Cyber Phys. Syst..

[15]  J. Walrand,et al.  Sufficient conditions for stability of longest-queue-first scheduling: second-order properties using fluid limits , 2006, Advances in Applied Probability.

[16]  Philip Levis,et al.  RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks , 2012, RFC.

[17]  Dacfey Dzung,et al.  Unplugged but connected [Design and implementation of a truly wireless real-time sensor/actuator interface] , 2007, IEEE Industrial Electronics Magazine.

[18]  Mahesh Sooriyabandara,et al.  The Tactile Internet for Industries: A Review , 2019, Proceedings of the IEEE.

[19]  Christian Dombrowski,et al.  EchoRing: A Low-Latency, Reliable Token-Passing MAC Protocol for Wireless Industrial Networks , 2015 .

[20]  Alejandro Ribeiro,et al.  Control-Aware Random Access Communication , 2016, 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS).

[21]  Maria Domenica Di Benedetto,et al.  Resilient stabilization of Multi-Hop Control Networks subject to malicious attacks , 2016, Autom..

[22]  Shreyas Sundaram,et al.  The Wireless Control Network: A New Approach for Control Over Networks , 2011, IEEE Transactions on Automatic Control.

[23]  Marco Di Renzo,et al.  Closed-Form Error Probability of Network-Coded Cooperative Wireless Networks with Channel-Aware Detectors , 2011 .

[24]  Huijun Gao,et al.  Network-Induced Constraints in Networked Control Systems—A Survey , 2013, IEEE Transactions on Industrial Informatics.