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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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214 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>where x is a r<strong>and</strong>om variable, <strong>and</strong> σ 2 is known as the fading envelope ofthe Rayleigh distribution.Because the channel uncertainties can distort the transmitted signals,therefore, the effect of these uncertainties is represented via a channel loss(gain) factor, typically multiples of the transmitter power. Then, the channelgain or loss, g, can be expressed as (Canchi <strong>and</strong> Akaiwa 1999)−n. ζg= f( d, n, X, ζ)= d ⋅ ⋅X10 01 2(5.46)where d −nis the effect of path loss, 10 01 . ζ corresponds to the effect ofshadowing. For Rayleigh fading, it is typical to model the power attenuationas X 2 , where X is a r<strong>and</strong>om variable with Rayleigh distribution.Typically, the channel gain, g, is a function of time.5.4.2 Distributed Power Controller Scheme DevelopmentThe goal of transmitter power control now is to maintain a required SIRthreshold for each network link while the transmitter power is adjustedso that the least possible power is consumed in the presence of channeluncertainties. Suppose there are N∈ Z + links in the network. Let g ij be thepower loss (gain) from the transmitter of the jth link to the receiver of theith link. It involves the free space loss, multipath fading, shadowing, <strong>and</strong>other radio wave propagation effects, as well as the spreading/processinggain of CDMA transmissions. The power attenuation is considered tofollow the relationship given in Equation 5.46. In the presence of suchuncertainties, our objective is to present a novel DPC <strong>and</strong> to compare itsperformance with others.The channel uncertainties will appear in the power loss (gain) coefficientof all transmitter–receiver pairs. Calculation of SIR, Ri( t),at the receiverof ith link at the time instant t (Jagannathan et al. 2006), is given bygii() t Pi() tRi()t = =I () ti∑j≠ig () t P()tiiig () t P(t) + η ( t)ijji(5.47)where i , j ∈{ 123… , , , , n},Ii( t) is the interference, Pt i( ) is the link’s transmitterpower, Pt j( ) are the transmitter powers of all other nodes, <strong>and</strong>η i () t > 0 is the thermal noise at its receiver node. For each link i, there isa lower SIR threshold γ i . Therefore, we requireγ ≤R () t ≤ γ*i i i(5.48)

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