Title :
A Finite-State Markov Model for Reliability Evaluation of Industrial Wireless Network
Author :
Wang Quan ; Wang Ping
Author_Institution :
Minist. of Educ. Key Lab. of Network Control & Intell. Instrum., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
Wireless sensors have started being utilized for industrial application which is typical harsh environment due to complicated layout and plentiful stationary/moving obstacles. As two hot standards for wireless industrial, WiHART and ISA100.11a, both adopt the centralized wireless sensor network with mesh topology to enable the reliable monitoring of a variety of environments. This kind of network gives a chance to evaluate the successful communication probability between two nodes through multi-hop or multi-graph. In order to utilize radios for industrial applications, their channel characteristics and link quality must be investigated for optimal design and reliability assessment. This paper presents a finite-Markov model for reliability prediction of this typical industrial wireless network. This finite Markov model for industrial wireless system could be used as a routing schedule algorithm, and also a good way to insure the reliability of industrial wireless system in the field.
Keywords :
Markov processes; factory automation; telecommunication network reliability; telecommunication network routing; wireless sensor networks; finite Markov model; finite state Markov model; industrial wireless network; reliability evaluation; reliability prediction; routing schedule algorithm; wireless sensor network; Logic gates; Markov processes; Mathematical model; Probability; Reliability; Wireless communication; Wireless sensor networks;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5601392
