Energy Consumption Analysis Based on Data Rate During Disaster

This research investigates the performance of energy consumption referred to data rates in a disaster environment. The traffic is divided into low and high data rates. Referring to the QoS traffic class, the low data rate is between 100 kbps (web surfing) to 150 kbs (voice-over IP application), meanwhile, the high data rate is about 500 kbps and use for video conferencing. During a natural disaster, users’ connections rely on the affected mobile towers that have limited power of battery backup due to power failure. The amount of energy left over in the battery is equal to the number of connections managed by the tower. If no countermeasure is taken for the high traffic users, the affected towers may be dysfunctional due to no power left to operate, hence difficult for search and rescue operation. Therefore, energy consumption based on data rate analysis was investigated by using handover decision parameters. From the result, high data rate consumes more power consumption of base station (BS) than low data rate. So, we integrate 0.2 partial of high rate and 0.8 partial of low data rate users to our proposed handover algorithm for user satisfaction during natural disaster. Simulation results show that the network performance for the number of handovers per ratio for high data rate based on number of UEs is considered high for Case 5 although it uses more low data rate type of traffic than high data rate. Hence, by using the proposed handover algorithm, it will not burden the affected BSs which only depend on battery backup due to hardware failure during natural disaster.