# Survey on Power-Aware Optimization Solutions for MANETs
## 3 Analysis of Power-Aware Optimization Solutions in MANETs
### Transmission Power Control-Based Routing Protocols
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Year** & **Ref.** & **Contribution** \\ \hline
2019 & [186] & A Markov chain framework that depicts the packet propagation process under a general two-hop relay algorithm. Two analytical expressions were derived for estimating PDR and energy consumption. \\ \hline
2018 & [187] & Multi-Criteria Decision-Making method combined with Intuitionistic Fuzzy Soft Set (IFSS) method. \\ \hline
2017 & [180] & The Fitness Function technique was applied to optimize the energy consumption in a new routing protocol (FF-AOMDV). In FF-AOMDV, the fitness function is employed to discover the optimal path from the source to the destination to reduce the energy consumption in multipath routing. \\ \hline
2016 & [185] & The “Double Metric” energy-aware routing protocol obtains increased effectiveness by combining QoS and power-efficiency in determining the best routing path to be elected. \\ \hline
2016 & [184] & The MECOR routing protocol addresses the use of energy consumption as the most important performance metric for routing decision. \\ \hline
2016 & [183] & The EPAR routing algorithm measures the amount of remaining battery energy and estimates the cost of energy required when a route is selected. \\ \hline
2016 & [157] & The ECAO protocol calculates the energy cost as extra metric performance in OLSR as well as throughput, delay, and the number of hops to measure the cost of each known routing path. \\ \hline
2015 & [182] & The ELRPP routing scheme selects a route based on residual energy, SNR, and link quality. \\ \hline
2014 & [79] & The AOMR-LM multipath routing protocol preserves the residual energy of nodes and balances the consumed energy to increase the network lifetime. The residual energy of nodes is used for calculating the node energy level. \\ \hline
2014 & [179] & The AODV\(\_\)RR protocol (an improved version of AODV) includes the “range routing” mechanism. AODV\(\_\)RR selects certain nodes to be responsible for receiving and processing any routing request based on the RSS. It maximizes the transmission range and minimizes the transmission power and the overall energy consumption of the network by minimizing the communication overhead. \\ \hline
2015 & [173] & The Modified DSR applies an energetic-aware mechanism to DSR protocol and uses energy consumption metrics for energy consumption balancing purposes. \\ \hline
2014 & [188] & An energy-efficient routing algorithm finds routes, minimizing the total energy required for end-to-end packet delivery. \\ \hline
2013 & [146] & An energy-efficient genetic algorithm-aided mechanism depends on bounded end-to-end delay and minimum energy cost of the multicast tree to solve QoS-based multicast routing problems. \\ \hline
2012 & [189] & A cooperative routing algorithm considers electronic power consumption when constructing the minimum-power route leading from source to destination. \\ \hline
2012 & [181] & The Link-stability and Energy-aware Routing protocol (LAER) combines energy metrics with other metrics (link status) for use in the routing decision. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Important works on transmission power control routing protocols for MANETs.