{"title":"EHRP-WSN: Energy-Efficient Hyperheuristic Routing Protocol for Wireless Sensor Networks","authors":"Soni Chaurasia , Kamal Kumar , Anil Kumar Kamboj","doi":"10.1016/j.aeue.2025.156044","DOIUrl":null,"url":null,"abstract":"<div><div>In Wireless Sensor Networks (WSNs), the energy efficiency of sensor nodes is a major concern, as these nodes quickly deplete their energy during data transmission. This leads to network overhead and hotspot problems. To address these issues, an Energy-Efficient Hyperheuristic Routing Protocol (EHRP-WSN) is proposed. The proposed protocol integrates Q-learning with a BES metaheuristic routing algorithm. Q-learning selects a forwarder node (FN) based on experience-driven heuristics, while BES determines the most energy-efficient path for transmission to the base station. This hyperheuristic method is based on an optimal decision-making approach. Therefore, EHRP-WSN minimizes unnecessary transmissions by forwarding only optimal data to the base station (BS) through optimal routes. Simulation results demonstrate that EHRP-WSN outperforms existing metaheuristic routing protocols such as HMBCR, GAPSO-H, EPO-BES, MOCRAW, and MH-ARO. EHRP-WSN also compares with the Q-learning protocol, such as EAQ-AODV and QTAR. The protocol achieves a notable average energy consumption (AEC) from 0.0108 J to 0.0423 J, a packet delivery ratio (PDR) of 96.47%, alive node 98%, throughput ranging from 856 to 1387 bits/s, and average delay (AD) from 0.0111 ms to 0.0169 ms. These results validate the effectiveness of EHRP-WSN in enhancing energy efficiency and overall performance in WSN environments.</div></div>","PeriodicalId":50844,"journal":{"name":"Aeu-International Journal of Electronics and Communications","volume":"202 ","pages":"Article 156044"},"PeriodicalIF":3.2000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aeu-International Journal of Electronics and Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1434841125003851","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In Wireless Sensor Networks (WSNs), the energy efficiency of sensor nodes is a major concern, as these nodes quickly deplete their energy during data transmission. This leads to network overhead and hotspot problems. To address these issues, an Energy-Efficient Hyperheuristic Routing Protocol (EHRP-WSN) is proposed. The proposed protocol integrates Q-learning with a BES metaheuristic routing algorithm. Q-learning selects a forwarder node (FN) based on experience-driven heuristics, while BES determines the most energy-efficient path for transmission to the base station. This hyperheuristic method is based on an optimal decision-making approach. Therefore, EHRP-WSN minimizes unnecessary transmissions by forwarding only optimal data to the base station (BS) through optimal routes. Simulation results demonstrate that EHRP-WSN outperforms existing metaheuristic routing protocols such as HMBCR, GAPSO-H, EPO-BES, MOCRAW, and MH-ARO. EHRP-WSN also compares with the Q-learning protocol, such as EAQ-AODV and QTAR. The protocol achieves a notable average energy consumption (AEC) from 0.0108 J to 0.0423 J, a packet delivery ratio (PDR) of 96.47%, alive node 98%, throughput ranging from 856 to 1387 bits/s, and average delay (AD) from 0.0111 ms to 0.0169 ms. These results validate the effectiveness of EHRP-WSN in enhancing energy efficiency and overall performance in WSN environments.
期刊介绍:
AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including:
signal and system theory, digital signal processing
network theory and circuit design
information theory, communication theory and techniques, modulation, source and channel coding
switching theory and techniques, communication protocols
optical communications
microwave theory and techniques, radar, sonar
antennas, wave propagation
AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.