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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
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