This means that the cluster heads are elected first, based on an energy-aware interference factor (EAIF) shown in Equation (1) and then other nodes join these cluster heads forming a multi-cluster network.
The authors in [13] have also given an interference-aware channel allocation scheme based on Hungarian algorithm to maximize the number of permitted D2D communication pairs.
Finally, Geirhofer et al.[14] propose an interference-aware resource allocation for OFDMA systems, based on the sensing and prediction of the ad hoc users from the infrastructure users.
In this paper, we analyze the ACI effect on WLANs and propose an interference-aware self-optimizing (IASO) Wi-Fi design that incorporates a multi-channel multi-level carrier sense and adaptive initial gain control scheme.
The MSR scheduler [33] is based on a channel-aware scheduling rule that, using w m ( t ) = 1, ∀ m, (36).
The design is based on a delay-aware architecture and cloud computing has been proposed for damping wide-area oscillations.
Based on this and taking into account that both schemes are combined with channel coding, we have devised an interference-aware receiver, which relies on the knowledge of the statistics of the IN term.
(i) We propose an interference-aware (IA) scheduling algorithm where scheduling decisions are made based on system performance maximization instead of intracell performance maximization, as in for example, conventional PF scheduler.
Strong (2008) has argued that these concerns are based on a fallacious interference.
This paper proposes an interference-aware and energy-aware routing algorithm such that power dissipation is uniform among all sensors.
