DocumentCode :
3236089
Title :
Sensor network pair-wise wireless communications performance with unsteady node orientation
Author :
Lintz, William A. ; McEachen, John C. ; Jenn, David C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA
fYear :
2009
fDate :
March 30 2009-April 1 2009
Firstpage :
1
Lastpage :
5
Abstract :
A model is proposed to describe expected communications performance between two sensor network nodes where both are unsteady in physical orientation with respect to a specified reference. Model application enables determination of transmit power in terms of a preferred link performance probability. Increasing applications of wireless sensor networks has proportionally increased fielding ideas and platforms. The stability of a platform for a sensor network node cannot always be assumed stable due to physical variation from motion or surface conditions. This creates a time-varying random orientation between nodes in communication with an adjacent partner. A stochastic model is proposed connecting the physical random orientation of a pair of elements to their transmission components. The resulting performance of a link using the proposed model is then applied to achieve reliable communications performance. Analysis demonstrates improved use of network power compared to a method which assigns a blanket power margin across the network.
Keywords :
stochastic processes; wireless sensor networks; blanket power margin; link performance probability; physical random orientation; sensor network pair-wise wireless communications; stochastic model; time-varying random orientation; unsteady node orientation; wireless sensor networks; Electronic mail; Performance loss; Polarization; Propagation losses; Sensor phenomena and characterization; Stochastic processes; Transmitting antennas; USA Councils; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2009. SARNOFF '09. IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-3381-0
Electronic_ISBN :
978-1-4244-3382-7
Type :
conf
DOI :
10.1109/SARNOF.2009.4850275
Filename :
4850275
Link To Document :
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