DocumentCode :
2036117
Title :
Decomposition of Subscription Based Publish-Subscribe Middleware for Wireless Sensor Networks
Author :
Yang, Wen-jun ; Wang, Bing-wen ; Li, Wei ; Hu, Xiao-ya
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
With the quick development in the application design of sensor networks, appropriate middleware, which provides efficient service for concurrent applications taking account into the scarce resources and sensor energy, is needed, which provides efficient service for concurrent applications taking account into the scarce resources and sensor energy. In this paper, we propose a novel message oriented publish/subscribe middleware named EventX under the event triggered based subscription model to cater to the features of sensor networks and its applications. EventX analyzes and decomposes compound subscription according to type and time interval. Another weight information based greed algorithm is introduced for the low-energy state of nodes. The simulation results show that the EventX is suitable to reduce communication overhead and prolong the lifetime of sensor networks.
Keywords :
middleware; telecommunication computing; wireless sensor networks; EventX; application design; concurrent application; event triggered based subscription model; message oriented publish/subscribe middleware; subscription based publish-subscribe middleware; wireless sensor networks; Appropriate technology; Condition monitoring; Design engineering; Event detection; Message-oriented middleware; Power engineering and energy; Publish-subscribe; Sensor phenomena and characterization; Subscriptions; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
Type :
conf
DOI :
10.1109/IWISA.2009.5072805
Filename :
5072805
Link To Document :
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