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| Year | Author and reference details | Metric used for evaluating the performance | Bullet points | Future research directions |
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| 2012 | Yao et al. [151] | Transmission quality | (i) An efficient framework has been proposed for controlling the rates of source coding adaptively by appropriately selecting the most eligible data packets for transmission.
(ii) The proposed framework considers four primary factors for the selection of eligible packets such as power efficiency, energy cost, energy-neutral constraint, and also multimedia distortion reduction. | (i) The future research directions may consider extension towards utilizing other energy harvesting model since the current work utilizes the solar energy harvesting system. |
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| 2013 | Gregori and Payaró [152] | Mean minimum completion time, percentage of solutions | (i) An optimal data transmission scheme has been proposed.
(ii) The proposed scheme considers the three constraints such as constraints for quality of service, data causality constraints, and also constraints for energy efficiency. | (i) The future research directions may consider extension towards fulfilling some other constraints for the optimal data transmission scheme. |
| Roseveare and Natarajan [153] | Sum rate, inverse mean squared error | (i) Models have been presented for different applications in the EH-WSNs with system-wide utility.
(ii) The proposed models consider the presence of factors like uncertain resource availability with system parameters. | (i) The future research directions may consider extension towards developing the framework for utility maximization decentralized problems also the proposed framework will allow the problem decomposition. |
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| 2014 | Wang et al. [154] | Average reward rate | (i) An optimal offline framework has been proposed for maximizing the weighted throughput.
(ii) Two optimal deterministic online algorithms have also been proposed along with the randomized algorithm. | (i) The future research directions may consider extension towards developing the framework for semionline algorithms. |
| Berbakov et al. [155] | Throughput | (i) An efficient semianalytical framework has been presented.
(ii) The aim of the proposed framework is to evaluate the joint optimal transmission policy for EH-WSNs.
(iii) In the proposed framework, throughput has improved for a given deadline. | (i) The future research directions may consider extension towards considering other metrics for the evaluation of the proposed framework under different energy harvesting models. |
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| 2015 | Michelusi and Zorzi [156] | Network utility | (i) Efficient access schemes are proposed with decentralized nature.
(ii) Also, each sensor node can individually decide whether to transmit a specific eligible packet or discarding the particular packet.
(iii) The decision on packets is based on certain factors such as estimation of packet’s utility, the current state of energy harvesting mechanism, and finally energy profile.
(iv) The aim is to enhance the aggregate long-term utility of the packets. | (i) The future research directions may consider extension towards considering some other operational regimes since the current work identified two operational regimes such as the network-limited scenarios and energy-limited scenarios. |
| Peng and Low [157] | Distinct packet delivery ratio | (i) A new framework has been proposed which is driven by query and having characteristics of energy-neutral with directed diffusion.
(ii) The proposed framework is aimed at maintaining the energy-neutral state at the network level.
(iii) The proposed framework results in enhanced data delivery and also the improved lifetime of the network. | (i) The future research directions may consider extension towards considering some more performance metrics for evaluating the performance of the proposed framework. |
| Zordan et al. [158] | Average reward, percentage of used slots, average fidelity | (i) Efficient policies have been proposed to control lossy data compression over fading channels.
(ii) The proposed schemes consider the replenishable energy buffer along with the specific process having stochastic energy input. | (i) The future research directions may consider extension towards modeling of the coupled dynamics of multiple energy harvesting sensors with multiuser scenarios. |
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| 2016 | Zhou et al. [159] | Average mean square error | (i) A new framework has been proposed for investigating the source estimation problem in EH-WSNs. | (i) The future research directions may consider extension towards finding the more efficient solution to the stochastic constraints since the current proposed framework may increase the estimation distortion. |
| Gong et al. [160] | Throughput | (i) An efficient centralized scheme has been proposed for achieving the optimal throughput by utilizing the monotonicity which exists in the problem structure.
(ii) Further, a distributed suboptimal scheme has been proposed in a game-theoretic approach.
(iii) Next, the source and the relays are responsible for the proposed framework to iteratively update two primary factors such as beamforming vector and energy harvesting schedule. | (i) The future research directions may consider extension towards developing relay network with multihop transmission and also having energy harvesting constraints. |
| Sunny [161] | Quality of monitoring | (i) An efficient joint scheduling and sensing allocation problem has been formulated which is attributed with a long-term time-averaged characteristic.
(ii) The formulated problem considers the finite data buffers, specific energy profile, and constraints such as quality of service related to battery and certain data constraints. | (i) The future research directions may consider extension towards utilizing the variable energy profile with different size data buffers also considering various other constraints. |
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| 2017 | Tang et al. [162] | Throughput | (i) The energy harvesting and information processing framework has been proposed which is based on time switching as well as power splitting relaying. | (i) The future research directions may consider extension towards efficient optimization of two crucial factors such as time switching and power splitting relaying and again evaluating the proposed framework in the new environment. |
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| 2018 | Aoudia et al. [163] | Dead ratio, average packet rate, and energy efficiency | (i) A novel framework has been proposed for optimal energy management.
(ii) The proposed framework considers reinforcement learning.
(iii) The proposed framework efficiently manages the energy management adaptively with respect to the time-varying environment. | (i) The future research directions may consider extension towards considering some other efficient technique since the current work considers reinforcement learning. |
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| 2019 | Mabon et al. [164] | State of charge | (i) An efficient node architecture has been proposed with the capabilities of high-range communication with energy-autonomous characteristics.
(ii) Also, an optimization framework has been proposed for the energy harvesting and node’s storage elements. | (i) The future research directions may consider extension towards considering some other energy harvesting environment since the current work considers solar energy harvesting. |
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| 2020 | Clemente et al. [165] | Power conversion efficiency | (i) An investigation is conducted for analyzing the energy balance of a node.
(ii) The investigation considers the three specific energy harvesting technologies such as piezoelectric, photovoltaic, and radiofrequency/Wi-Fi. | (i) The future research directions may consider extension towards considering some other energy harvesting environment since the current work considers the three specific energy harvesting technologies such as piezoelectric, photovoltaic, and radiofrequency/Wi-Fi. |
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