Research Article
Design of Energy-Efficient Protocol Stack for Nanocommunication Using Greedy Algorithms
Table 2
Existing energy management techniques.
| Sr No. | Research article author(s) | Network method | Type of application | Focused issues | Energy management technique | Simulation/Real time |
| 1 | [20] | Random | Event based | Residual battery power and radio links | Energy storage | Simulation | 2 | [21] | Nanorectennas | Periodic | Total harvesting efficiency | Energy harvesting | Simulation | 3 | [22] | Nanorectennas | Event driven | Optimization | Energy harvesting | Simulation | 4 | [23] | Dynamic | Event based | Time synchronization | Energy consumption | Simulation | 5 | [24] | Fixed | Periodic | Energy transfer efficiency | Energy consumption | Simulation | 6 | [25] | Random | Distributive and adaptive | Energy transfer | Energy consumption | Simulation | 7 | [26] | Cluster | Query based | Scalability | Energy recharge | Simulation | 8 | [27] | Random | Event based | Efficient wireless power transfer | Energy consumption | Simulation | 9 | [13] | Cluster | Query based | Optimization of energy harvesting and consumption process | Energy harvesting | Simulation | 10 | [28] | Static and dynamic | Event driven | Delivery rate of data packets | Energy consumption | Simulation | 11 | [29] | Random | Periodic | Quantification of MCs | Energy consumption | Simulation | 12 | [30] | Random | Event based | Optimization of energy transfer | Energy consumption | Simulation | 13 | [11] | Cluster | Event driven | Maximizing energy utilization | Energy harvesting and energy consumption | Simulation |
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