首页|EEERP-RL: Enhanced energy-efficient routing protocol based on reinforcement learning for wireless sensor network
EEERP-RL: Enhanced energy-efficient routing protocol based on reinforcement learning for wireless sensor network
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NETL
NSTL
Wiley
Wireless Sensor Networks (WSN) efficiently monitors and record environmentalconditions, transmitting this data to central locations via widely distributed,sensor nodes. Onemajor challenge inWSN involves creating an energy-efficientrouting protocol that minimizes energy consumption and extends the network’slongevity. In this paper, we propose EEERP-RL, an enhanced energy-efficientQoS routing protocol for WSNs, based on reinforcement learning (RL). The proposedprotocol has been compared with two other protocols to determine whichone gives the best performance in the network OSPF and SDN-Q. There is aninvestigation of packet delivery ratios and delays (m), as well as the impact ofalive nodes, dead nodes, and energy consumption. Based on simulation results,the proposed protocol outperforms as compared to existing protocol in terms ofdifferent network traffic loads and node mobility.
NETL
NSTL
Wiley
