Review Article

Green Communication for Next-Generation Wireless Systems: Optimization Strategies, Challenges, Solutions, and Future Aspects

Table 3

Sender-initiated asynchronous protocols.

YearAuthor and reference detailsProposed MAC protocolMetric used for evaluating the performanceHops countBullet pointsFuture research directions

2014Kim et al. [100]EL-MACThroughput, and energy efficiencySingle hop(i) A new MAC protocol has been presented for EH-WSNs which is known as MAC protocol with consideration of the different levels of energy.
(ii) The energy efficiency as well as higher throughput has been ensured in the proposed framework.
(iii) The proposed framework also provides a strategy for efficient sensing by giving the highest priority to users having a lower energy level for ensuring the communication opportunity.
(i) Future research directions may consider the work towards the evaluation of the proposed scheme under different energy harvesting environments.
Naderi et al. [101]RF-MACHarvested energy and throughputMultihop(i) A new MAC protocol has been presented for EH-WSNs which is known as radiofrequency energy transferring MAC.
(ii) The proposed MAC protocol is optimizing the sensor node’s energy delivery.
(iii) The proposed framework reduces the disruption in the communication mechanism.
(i) Future research directions may consider the work towards enhancing the optimization of spectrum selection mechanism by using some advanced efficient optimization technique.

2015Lin et al. [102]DeepSleepEnergy efficiency, application layer loss rate, and outage probabilitySingle hop(i) A new MAC protocol has been presented for EH-WSNs which is known as DeepSleep MAC.
(ii) The proposed MAC protocol is significantly reducing the collision probability, outage probability, and also application layer loss rate; on the other hand, energy efficiency has been increased.
(iii) The proposed framework considered fairness in the access mechanism during the design step.
(i) Future research directions may consider the work towards formulation of complex optimization problem concerning to relationship among multiple parameters which are part of the proposed framework.
(ii) Next, multiple sleep probability values may be considered for applying to various devices for guaranteeing the packet delay time.
(iii) Further, the energy harvesting 802.11ah devices may be explored for analyzing the design space.