Scholarlink

The rapid expansion of Internet of Things (IoT) devices has led to significant cross-technology interference in the shared 2.4GHz ISM frequency band, where heterogeneous technologies like ZigBee and Wi-Fi coexist. This paper critically reviews the innovative method proposed in “Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding”. The SledZig method enhances the coexistence of ZigBee and Wi-Fi by intelligently encoding Wi-Fi payloads to mitigate interference. This review highlights the efficacy of SledZig, demonstrating substantial improvements in ZigBee transmission performance with minimal impact on Wi-Fi throughput. However, the scalability and real-world application of SledZig remain underexplored, and there is a lack of sufficient comparison between SledZig and existing coexistence methods. This paper identifies key gaps in scalability, interference management, and protocol compatibility and proposes future research directions to address these challenges. This research aims to ensure robust and efficient coexistence across diverse technologies in real-world scenarios, thereby paving the way for more reliable Internet of Things (IoT) communications. This review will provide valuable insights for researchers, practitioners, and industry stakeholders seeking to develop efficient solutions for coexistence across various technologies in ZigBee-based IoT applications.

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

Advancements in Cross-Technology Coexistence: A Critical Review of SledZig for ZigBee and Wi-Fi Interference Mitigation

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Osatohanmwen Noghayin Enehizena,
  • Daniel Oseghale Aigbodion,
  • Kingsley Osaro Ogbeide,
  • Agbotiname Lucky Imoize,
  • Youssef Mejdoub

摘要

The rapid expansion of Internet of Things (IoT) devices has led to significant cross-technology interference in the shared 2.4GHz ISM frequency band, where heterogeneous technologies like ZigBee and Wi-Fi coexist. This paper critically reviews the innovative method proposed in “Enabling Cross-Technology Coexistence for ZigBee Devices Through Payload Encoding”. The SledZig method enhances the coexistence of ZigBee and Wi-Fi by intelligently encoding Wi-Fi payloads to mitigate interference. This review highlights the efficacy of SledZig, demonstrating substantial improvements in ZigBee transmission performance with minimal impact on Wi-Fi throughput. However, the scalability and real-world application of SledZig remain underexplored, and there is a lack of sufficient comparison between SledZig and existing coexistence methods. This paper identifies key gaps in scalability, interference management, and protocol compatibility and proposes future research directions to address these challenges. This research aims to ensure robust and efficient coexistence across diverse technologies in real-world scenarios, thereby paving the way for more reliable Internet of Things (IoT) communications. This review will provide valuable insights for researchers, practitioners, and industry stakeholders seeking to develop efficient solutions for coexistence across various technologies in ZigBee-based IoT applications.