DocumentCode :
2207837
Title :
Minimum Interference Model in Wireless Sensor Network for Foul Environment in Workshop and Warehouse
Author :
Zhang, Yi-sheng ; Li, Min
Author_Institution :
State Key Lab. of Mater. Process. & Die & Mould Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
2965
Lastpage :
2967
Abstract :
Due to the low-rate radios used and the effects of wireless interferences in workshop and warehouse´s foul environment, traditional workshop and warehouse informatization system has many defaults, such as, manual business process management, information flowing delay after material flowing, high mistakes ratio, stacking and crane job schedule in a state of chaos, very much production waste, and hard to manage the storage. In this paper, First, we propose a technique to evaluate the quality of wireless signal in workshop and warehouse. Second, we propose a minimum interference model in wireless sensor network by discovering zone-disjoint paths for wireless signal, assigning a particular channel based on a channel assignment algorithm. With our prototype provide high-quality wireless signal in workshop and warehouse, workers can use wireless PDA follow the intelligently instruction to do multi-process material-flow-job scheduling, calculation and allocation of storage space, storage monitor, and production execution monitor.
Keywords :
flow shop scheduling; production management; radiofrequency interference; warehousing; wireless sensor networks; discovering zone-disjoint paths; information flowing delay; manual business process management; material-flow-job scheduling; minimum interference model; production execution monitor; warehouse informatization system; wireless interferences; wireless sensor network; wireless signal; workshop informatization system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.742
Filename :
5454524
Link To Document :
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