Jointly optimal congestion control and power control in wireless multihop networks

Monotonic Signed Graph approach for cross-layer congestion control in wireless ad-hoc networks

“…This is because, we observe that path between m i and c i through BER i is more dominant than the other path. Increase/decrease of P i is bounded by P iMin = 8 watts and P iMax = 15 watts and m i takes a value from (2,4,6,10). BER th is assumed to be 10 −6 and c i varies between 1 and c iMax , which is a function of the modulation index used and P iMax .…”

“…All the simulations are conducted using crosslayer implementations in MATLAB. We consider a CDMA ad-hoc network with six wireless nodes and two long TCP flows (1)(2)(3)(4)(5) and (2)(3)(4)(5)(6) as shown in Fig. 1.…”

“…Moreover, the link capacities are not fixed, rather depend upon the Signal to Interference and Noise Ratio (SIN R) of the links. To address this, a joint congestion and power control technique for TCP Vegas is proposed in [6]. Further, in [7], [8], authors have proposed Joint Optimal Congestion control and Power control (JOCP) techniques to improve life-time and throughput of the wireless ad-hoc networks.…”

Media and data traffic coexistence in power-controlled wireless networks

“…where O(m) is a processing cost reflecting any overhead associated with the use of mode m. As in Section 3.1, we choose to take the conservative approach of i(n) = δi(n − 1) in solving (12). Hence, we define To allow for the bounded power-up steps,p should be clipped above by δp(n − 1).…”

“…Other TPC schemes proposed for data communications often ignore the delay as a QoS metric of the carried traffic and the intermittent nature of the packet arrival process (e.g. [12] takes a macroscopic view of the network operations, not considering the buffering effect of the erroneous transmissions, [13] aims to maximize the throughput without accounting for queueing delay).…”