Scholarlink

The wireless sensor network (WSN) is an integration of different minuscule calculated sensor hubs that carry numerous activities like transmission, managing various communications and detection. The path selection is majorly depending on different network parameters like network type, performance metrics, and channel characteristics. Therefore, battle royale optimization (BRO) algorithm is proposed in this research for energy-efficient routing in Internet of Things (IoT)-based WSN. The BRO is used for route path selection through fitness like residual energy, distance, and density which enhances the network lifespan. The major objective of BRO is to provide energy-efficient routing to enhance data transmission. The packet delivery ratio (PDR), delay, alive nodes, and throughput are measured to assess the BRO performance with 200–1000 rounds. The proposed BRO achieves throughput of 97.26%, 97.57%, 97.83%, 98.24%, and 98.66% for 200–1000 rounds when compared to existing algorithms like falcon optimization algorithm (FOA) and lightening search algorithm (LSA).

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Battle Royale Optimization-Based Energy-Efficient Routing in Internet of Things-Based Wireless Sensor Network

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • R. Rana Veer Samara Sihman Bharattej,
  • M. Bharathraj Kumar,
  • S. Shruthi,
  • Shakeel Ahmed,
  • Afshan Kaleem

摘要

The wireless sensor network (WSN) is an integration of different minuscule calculated sensor hubs that carry numerous activities like transmission, managing various communications and detection. The path selection is majorly depending on different network parameters like network type, performance metrics, and channel characteristics. Therefore, battle royale optimization (BRO) algorithm is proposed in this research for energy-efficient routing in Internet of Things (IoT)-based WSN. The BRO is used for route path selection through fitness like residual energy, distance, and density which enhances the network lifespan. The major objective of BRO is to provide energy-efficient routing to enhance data transmission. The packet delivery ratio (PDR), delay, alive nodes, and throughput are measured to assess the BRO performance with 200–1000 rounds. The proposed BRO achieves throughput of 97.26%, 97.57%, 97.83%, 98.24%, and 98.66% for 200–1000 rounds when compared to existing algorithms like falcon optimization algorithm (FOA) and lightening search algorithm (LSA).