Minimizing NOMA Resource Usage for Cellular IoT Networks through Distributed Source Coding

Recent advances in energy management for Green-IoT: An up-to-date and comprehensive survey

“…Sleep Scheduling Wake-Up Radio [47], [48], [49], [50], [51], [52], [53], [54] Duty Cycling [55], [56], [57] Energy Efficient Data Collection Data Aggregation [58], [58], [59], [60], [61] Probability Approach [62] Compressive Sensing Approach [63], [64], [65], [66] Mobility based approaches [67], [68], [69], [70], [71] cations. Backscatter communications is still at a development stage, therefore, it faces limited-range, security and interference problems which makes it not suitable for applications that handle critical data and require a high level of reliability such as industrial and outdoor medical applications.…”

“…In this case, there is a temporal correlation between data which means it would be interesting to use a predictive approach in order to reduce the energy consumption resulting from the spacial-temporal correlation. In [66], the authors em- This strategy has been studied widely in the recent years the number of mobile is increasing. The third method consists in having mobile sensor nodes and a mobile sink.…”