Table 1 Comparative analysis of some of the existing techniques
From: Performance and evaluation of energy optimization techniques for wireless body area networks
Author | Year | Techniques | Advantages | Disadvantages |
|---|---|---|---|---|
Xu G [6] | 2014 | Genetic ant colony algorithm | Residual energy parameter balances the energy consumption among the sensor | Computation time complexity of this protocol is very high |
Yan J [7] | 2014 | Artificial bee colony | Utilizes less energy and more reliable as compared to multi-hop communication | Here, they just only assumed the mesh topology |
Kennedy and Kennedy [26] | 2015 | PSO | Success rate of packet transmission increase and low specific absorption rate using relay node | Network lifetime not considered |
Javaid et al. [27] | 2016 | Linear programming-based mathematical models for relay node selection | Maximizes the network stability period and nodes stay alive for longer period | Lack of synchronization mechanism |
Kaur et al. [10] | 2017 | Optimized cost-effective and energy-efficient routing protocol for WBAN | Reliable and power-efficient routing protocol with high throughput | Expected Transmission Count (ETX) link metrics were not implemented |
Agnihotri et al. [8] | 2019 | PSO-GA | Hybrid PSO-GA routing scheme raised 12 to 23% lifetime compared to the shortest path approach | Energy harvesting was not done properly |
Samal [28] | 2019 | Cuckoo search-based algorithm | Proposed fitness function for placement of relay nodes | Work on adjusting the network topology adaptively based on IEEE 802.15.6 was not focused |
Raj [29] | 2020 | Opportunistic energy-efficient routing with load balancing | Improved performance as compared to other existing protocols | The path loss increased between transmitter and receiver with the increase in distance and frequency |