Download Performance modeling and analysis of Bluetooth networks : by Jelena Misic, Vojislav B. Misic PDF

By Jelena Misic, Vojislav B. Misic

Previously, builders and researchers attracted to the layout, operation, and function of Bluetooth networks have lacked suggestions approximately power solutions and the relative benefits and drawbacks of functionality options.

Performance Modeling and research of Bluetooth Networks: Polling, Scheduling, and site visitors Control summarizes the examine at the functionality of Bluetooth networks, together with either piconets and scatternets, performed considering the fact that 2001.  The publication presents insights into the functionality of Bluetooth networks via an analytical strategy dependent upon queuing thought and discrete occasion simulation.  It additionally proposes and validates options for universal difficulties that aren't coated through the reputable Bluetooth standards.

This quantity permits builders and researchers to complement their wisdom of functionality concerns and turn into higher built to resolve difficulties concerning the layout, deployment, and operation of Bluetooth networks.

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Performance modeling and analysis of Bluetooth networks : polling, scheduling, and traffic control

Beforehand, builders and researchers attracted to the layout, operation, and function of Bluetooth networks have lacked suggestions approximately power solutions and the relative merits and drawbacks of functionality strategies. functionality Modeling and research of Bluetooth Networks: Polling, Scheduling, and site visitors keep an eye on summarizes the learn at the functionality of Bluetooth networks, together with either piconets and scatternets, carried out seeing that 2001.

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Example text

I,M (0, w) and Q i (0, w). In an analogous fashion, we can find i,1 (z, 0) . . i,M (z, 0) and Q i (z, 0) as functions of i,(µ) i . For clarity, we introduce additional substitutions: π0,0 , µ = 1 . . M, and q0,0 i (1 − z − w) Q 0 (z, w) = (1 − w)Q i (z, 0) + (1 − z)Q i (0, w) − q0,0 µ,0 (z, w) = (1 − w) i,µ (z, 0) i,(µ) +(1 − z) i,µ (0, w)π0,0 (1 − z − w), µ = 1 .. 26) becomes Fis∗ (λiu − λiu G b (z))Fis∗ (λid − λid G b (w)) zw · (Q i (z, w) − Q 0 (z, w)) Fis∗ (λiu − λiu G b (z))Fis∗ (λid − λid G b (w)) i,µ (z, w) = zw · i,µ−1 (z, w) − µ−1,0 (z, w) µ = 2 .

0004 (b) Exhaustive polling. 4 End-to-end delay (in units of T = 625µs) vs. packet burst arrival rate λ and mean burst size B. (From J. Miˇsi´c and V. B. Miˇsi´c, “Modeling Bluetooth piconet performance,” IEEE Comm. Lett. 7(1):18–20, c 2003 IEEE. 2 ratio of end-to-end delays (exhaustive vs. 8 ratio of end-to-end delays (exhaustive vs. 4 ratio of access delays (exhaustive vs. 3 ratio of access delays (exhaustive vs. 5 mean burst size (a) Delay ratios vs. 0015. 003 burst arrival rate per slave (b) Delay ratios vs.

When the slave responds with a NULL packet to a POLL packet sent by the master [Bluetooth SIG, 2001b]. The actual number of frames is equal to the number of packets in the downlink or the corresponding uplink queue, whichever is larger, plus one for the POLL-NULL sequence. The channel service time for the exhaustive polling is the time required to empty both channel queues for one particular slave. The PGF Si (z) of the channel time can be found if we first find the mass probabilities of k packet arrivals in the i-th slave’s and master’s queue during the piconet cycle time.

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