JOCP: A jointly optimized clustering protocol for industrial wireless sensor networks using double‐layer selection evolutionary algorithm

• DOI: 10.1002/cpe.7927
• Publication Date: 2023-10-05T08:43:39Z
• Authors: Di Wu; Zhen Yang; Tong Li; Junrui Liu
• Keywords: Selection algorithm

Summary Industrial Wireless Sensor Networks (IWSNs) have gained significant popularity for their ability to improve plant productivity and production efficiency through self‐organization rapid deployment. However, the challenge of achieving reliable sustainable data transmission remains due large amount heterogeneous generated by large‐scale IWSNs. In this paper, we present a systematic approach that addresses focusing on clustering strategies, optimal cluster head selection, routing design. We propose novel Jointly Optimized Clustering Protocol (JOCP), which enhances selection considering multiple critical factors impact IWSN life cycle. JOCP incorporates two key modules: many‐objective model double‐layer evolutionary algorithm. Specifically, considers from different perspectives, including maximum node survival cycle, minimum distance, network overall energy consumption, balanced with aim extending Additionally, algorithm optimizes select appropriate heads. Through performance verification, demonstrate protocol effectively cycle increases number surviving nodes compared baseline algorithms. Our research provides comprehensive solution challenges associated in IWSNs, highlighting potential improved industrial applications.