A power control and optimization method for burst bandwidth demand in heterogeneous industrial wireless networks

With the development of wireless transmission technology, the coexistence of a variety of network protocols is inevitable in industrial control networks for a certain period of time. Due to the lack of a necessary coordination mechanism between different network protocols, this may impact the transmission performance of the backhaul network connecting several subnetworks with different protocols when there are traffic bursts in certain subnets. This paper solves the problem from the perspective of dynamic routing that is based on power control. When a subnet gateway node cannot meet the bandwidth demands of the traffic burst, the interference-reducing dynamic power control method (IR-DPC) is proposed to resolve the impact on backhaul networks. It via the nodes can be connected to the gateway (1) directly, (2) by increasing the power of the gateway and (3) by adjusting the antenna direction and power respectively to conduct power control and routing recovery. Then, the method was analyzed through theoretical analysis and simulation. The results show that the routing recovery time is within 10 ms and the traffic burst bandwidth demand that is satisfied is more than twice that of traditional methods within a given range.

[1]  Jeffrey G. Andrews,et al.  Uplink rate distribution in heterogeneous cellular networks with power control and load balancing , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[2]  Li Li,et al.  Distributed topology control for power efficient operation in multihop wireless ad hoc networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[3]  Yu-Chee Tseng,et al.  A Multi-channel MAC Protocol with Power Control for Multi-hop Mobile Ad Hoc Networks , 2002, Comput. J..

[4]  Seung Ho Hong,et al.  Implementation of a Powerlink-WirelessHART gateway for industrial automation , 2016, 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).

[5]  Iftekhar Hussain,et al.  An Efficient TDMA MAC Protocol for Multi-hop WiFi-Based Long Distance Networks , 2016, Wirel. Pers. Commun..

[6]  Xiang-Yang Li,et al.  Taming Cross-Technology Interference for Wi-Fi and ZigBee Coexistence Networks , 2016, IEEE Transactions on Mobile Computing.

[7]  Wenzhi Cui,et al.  DiFS: Distributed flow scheduling for adaptive routing in hierarchical data center networks , 2014, 2014 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS).

[8]  An-Yeu Wu,et al.  Regional ACO-Based Cascaded Adaptive Routing for Traffic Balancing in Mesh-Based Network-on-Chip Systems , 2015, IEEE Transactions on Computers.

[9]  Yongchang Zhang,et al.  Model Predictive Direct Power Control of PWM Rectifiers Under Unbalanced Network Conditions , 2015, IEEE Transactions on Industrial Electronics.

[10]  Ke Xu,et al.  A tutorial on the internet of things: from a heterogeneous network integration perspective , 2016, IEEE Network.

[11]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[12]  Daesik Hong,et al.  Joint Beamforming and Power Control Algorithm for Cognitive Radio Network with the Multi-Antenna Base Station , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[13]  Cheong Boon Soh,et al.  Adaptive Routing for Dynamic On-Body Wireless Sensor Networks , 2015, IEEE Journal of Biomedical and Health Informatics.

[14]  Teresa H. Meng,et al.  Minimum energy mobile wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[15]  Mikael Gidlund,et al.  Low jitter scheduling for Industrial Wireless Sensor and Actuator Networks , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[16]  Mohammad Hammoudeh,et al.  Adaptive routing in wireless sensor networks: QoS optimisation for enhanced application performance , 2015, Inf. Fusion.

[17]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[18]  Zenghua Zhao,et al.  Long-Distance IEEE 802.11 Wireless Mesh Networks: A Survey , 2012 .