DocumentCode
2114377
Title
A Method for Minimum Dominating Set in Wireless Sensor Networks
Author
Zhang, Shuqin ; Wang, Xueqing
Author_Institution
Sch. of Comput. Sci., Zhongyuan Univ. of Technol., Zhengzhou
fYear
2008
fDate
18-18 Dec. 2008
Firstpage
267
Lastpage
270
Abstract
In wireless sensor networks, the number of cluster heads and nodes has direct relation to its cost and its performance, such as robust, fault-tolerance, etc. Further more, it is considered at first as wireless sensor networks are designed. The paper simplifies complex connectivity and coverage problem step by step. By means of theoretical analysis, math modeling and geometry proving and making use of geometric theories and the method of mathematics induction, the method of grid plot of sensor field is proposed from the viewpoints of topology. In the end, the analysis formulae of minimum number of cluster heads and nodes are respectively educed in theory under circumstances of full and seamless connectivity and coverage problem in wireless sensor networks. That is, the problems of full and seamless connectivity and coverage are solved that how many clusters total sensor field is plotted and how many nodes are deployed over the field at the fewest, or MCDS (minimum connected dominating set) and MSDS (minimum sensing dominating set).
Keywords
geometry; telecommunication network topology; wireless sensor networks; complex connectivity; coverage problem; geometric theories; math modeling; mathematic induction method; minimum connected dominating set; minimum sensing dominating set; network topology; theoretical analysis; wireless sensor networks; Biomedical engineering; Clustering algorithms; Computer science; Embedded computing; Head; Monitoring; Seminars; Sensor phenomena and characterization; Wireless communication; Wireless sensor networks; Wireless sensor networks; connectivity; coverage; minimum dominating set;
fLanguage
English
Publisher
ieee
Conference_Titel
Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3561-6
Type
conf
DOI
10.1109/FBIE.2008.62
Filename
5076735
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