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- Title
Yellow Saddle Goatfish Optimization Algorithm based Energy Aware Multihop Routing Protocol for Wireless Sensor Networks.
- Authors
Sivakumar, Deena; Devi, S. Suganthi; Nalini, T.
- Abstract
Wireless sensor networks (WSNs) can be defined as a set of independent sensor devices, which are linked by wireless channels. WSN has potential for real-time monitoring namely environment surveillance, military applications, industrial applications, health monitoring, and many more. Certain limitations of WSNs include limited storage space and node energy. Energy efficiency will be the major design problem in WSN, which is solved through clustering and routing methods. They were regarded non-deterministic polynomial (NP)-hard optimizing issues and can be solved with the utilization of metaheuristic techniques for identifying the near-optimal or optimum solutions. This article introduces a novel yellow saddle goatfish optimization algorithm based energy aware multihop routing (YSGOA-EAMHR) method for WSN. The presented YSGOA-EAMHR methodology concentrates on the recognition of optimum routes to destinations for data communication in WSN. To attain this, the proposed YSGOA-EAMHR methodology is mainly based on YSGOA, which is stimulated by the characteristics of yellow saddle goatfish. In addition, the presented YSGOA-EAMHR model derives a fitness function involving residual energy (RE) and distance to BS. The YSGOA-EAMHR model selects the nodes with higher RE and lowers the distance to BS as optimal relay nodes for data transmission. The investigational validation of the YSGOA-EAMHR technique is examined utilizing a sequence of measures. The comparison study reported that the YSGOA-EAMHR technique has gained significant performance over existing models such as FUCHAR, GWO, MOPSO, WGWO, and HMBCR techniques.
- Subjects
OPTIMIZATION algorithms; ROUTING algorithms; DATA transmission systems; WIRELESS sensor networks; WIRELESS channels; SADDLERY; ENERGY consumption; METAHEURISTIC algorithms
- Publication
International Journal of Intelligent Engineering & Systems, 2024, Vol 17, Issue 1, p83
- ISSN
2185-310X
- Publication type
Article
- DOI
10.22266/ijies2024.0229.09