Wireless HART is a new standard specifically designed for real-time and reliable communication between sensor and actuator devices for industrial process monitoring and control applications. End-to-end communication delay analysis for Wireless HART networks is required to determine the schedulability of real-time data flows from sensors to actuators for the Purpose of acceptance test or workload adjustment in response to network dynamics. This paper consider a network model based on wireless HART, and map the scheduling of realtime periodic data flows in the network to real-time multiprocessor scheduling. We then exploit the response time analysis for multiprocessor scheduling and propose a novel method for the delay analysis that establishes an upper bound of the end-to-end communication delay of each real-time flow in the network.

 

Published In : IJCSN Journal Volume 3, Issue 4

Date of Publication : August 2014

Pages : 242 - 246

Figures : 01

Tables : --

Publication Link : End-to-End Communication Delay Analysis in Industrial Wireless Networks

 

 

 

C. Kalaimani : Research Scholar, Sri Krishna Arts Science College, Coimbatore.

M. Jhatheeswari : Msc, Mphil, Department of Computer Science, Sri Krishna Arts & Science College, Coimbatore.

 

 

 

 

 

 

 

Wireless sensor networks

scheduling

Real-time and embedded systems

Wireless HART is a new standard specifically designed for real-time and reliable communication between sensor and actuator devices for industrial process monitoring and control applications. End-to-end communication delay analysis for Wireless HART networks is required to determine the schedulability of real-time data flows from sensors to actuators for the Purpose of acceptance test or workload adjustment in response to network dynamics. This paper consider a network model based on wireless HART, and map the scheduling of realtime periodic data flows in the network to real-time multiprocessor scheduling. We then exploit the response time analysis for multiprocessor scheduling and propose a novel method for the delay analysis that establishes an upper bound of the end-to-end communication delay of each real-time flow in the network.

 

 

 

 

 

 

 

 

 

[1] D. Chen, M. Nixon, and A. Mok, Wireless HART Real- Time Mesh Network for Industrial Automation. Springer, 2010.

[2] T. F. Abdelzaher, S. Prabh, and R. Kiran, “On real-time capacity limits of multihop wireless sensor networks,” in RTSS ’04.

[3] C. Lu, B. M. Blum, T. F. Abdelzaher, J. A. Stankovic, and T. He, “RAP: A real-time communication architecture for large-scale wireless sensor networks,” in RTAS ’02.

[4] A. Saifullah, Y. Xu, C. Lu, and Y. Chen, “Real-time scheduling for WirelessHART networks,” in RTSS ’10.

[5] H. Li, P. Shenoy, and K. Ramamritham, “Scheduling messages with deadlines in multi-hop real-time sensor networks,” in RTAS ’05.

[6] O. Chipara, C. Lu, and G.-C. Roman, “Real-time query scheduling for wireless sensor networks,” in RTSS ’07.

[7] J. B. Schmitt and U. Roedig, “Sensor network calculus –A framework for worst case analysis,” in DCOSS ’05.

[8] K. Karenos and V. Kalogeraki, “Real-time traffic management in sensor networks,” in RTSS ’06.