DocumentCode :
1594578
Title :
Packets distribution algorithms for sensor networks
Author :
Florens, C. ; McEliece, R.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
2
fYear :
2003
Firstpage :
1063
Abstract :
In this paper, we study, via simple discrete mathematical models, the problems of data distribution and data collection in wireless sensor networks. The work that follows continues the work presented by the authors in (C. Florens et al., 2002) where the focus was on sensor networks equipped with unidirectional antenna elements. Here we shift our interest to networks equipped with omnidirectional antenna elements. In particular we show how the data distribution and collection tasks can be performed optimally (with respect to time) on tree networks and give the corresponding time performances of those strategies. We also present a strategy for general graph networks that performs within a factor of 3 of the optimal performance. Finally we compare the performance of a network equipped with omnidirectional antenna elements with one equipped with unidirectional antenna elements. We show the latter outperforms the former by 33% at most in tree networks. To that purpose we included relevant results on directional antenna sensor networks, partly obtained in (C.Florens et al., 2002).
Keywords :
antenna accessories; data communication; packet radio networks; wireless sensor networks; data collection; data distribution; directional antenna sensor networks; discrete mathematical models; graph networks; omnidirectional antenna elements; packet distribution algorithms; tree networks; unidirectional antenna elements; wireless sensor networks; Ad hoc networks; Directional antennas; Mathematical model; Media Access Protocol; Monitoring; Sensor systems; Signal processing algorithms; Tree graphs; Very large scale integration; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies
Conference_Location :
San Francisco, CA
ISSN :
0743-166X
Print_ISBN :
0-7803-7752-4
Type :
conf
DOI :
10.1109/INFCOM.2003.1208943
Filename :
1208943
Link To Document :
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