ABSTRACT
Energy employed by scheduled users in executing their communication is determined by algorithms as transmission energy in networks could not be minimized by users. Various algorithms have been developed that pack the highest frequencies of transmission and in scheduling node power levels in minimizing transmission energy (Mainwaring et al., 2002). The study (ElBatt & Ephremides, 2004) have contributed to the development of an algorithm that packs the highest frequency of transmission of the existing slots without causing any disruption in transmissions. Subsequently, the access to system data within the network limit can be maximized (ElBatt & Ephremides, 2004). Another set of algorithms have been developed in scheduling node energy levels in accordance to the node energy levels within nodes. Signal to noise ratio from any existing connectivity is used to maintain the energy level by assuming a fitting arrangement of node energy levels. It has also been reported that energy level of nodes could not be eectively aligned with fitting encoded schemes (Liang & Dandekar, 2007).
