Internet of Things (IoT) is one of the widely acceptable technologies of the world that helps people to improvise their productivity and security. But with the spread of IoT technology vast amount of data is now needed to be transmitted, stored and processed in as less time as possible. For this integrating IoT with traditional cloud-based central server creates challenges as energy consumption, reliability, throughput, network delays, etc. So, the demand for efficient and reliable communication in distributed systems continues to rise, optimizing routing strategies and leveraging edge computing capabilities become paramount. This paper presents a noble approach, the Trust-aware Firefly Algorithm for Routing and Edge Computing Optimization, aimed at addressing the challenges of dynamic network environments. The algorithm integrates trust values, spatial considerations, and edge computing capacities to enhance the decision-making process in routing tasks.

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

Trust-Aware Firefly Algorithm for Routing and Edge Computing Optimization in IoT Environment

  • Rabindra Patel,
  • Sasmita Acharya

摘要

Internet of Things (IoT) is one of the widely acceptable technologies of the world that helps people to improvise their productivity and security. But with the spread of IoT technology vast amount of data is now needed to be transmitted, stored and processed in as less time as possible. For this integrating IoT with traditional cloud-based central server creates challenges as energy consumption, reliability, throughput, network delays, etc. So, the demand for efficient and reliable communication in distributed systems continues to rise, optimizing routing strategies and leveraging edge computing capabilities become paramount. This paper presents a noble approach, the Trust-aware Firefly Algorithm for Routing and Edge Computing Optimization, aimed at addressing the challenges of dynamic network environments. The algorithm integrates trust values, spatial considerations, and edge computing capacities to enhance the decision-making process in routing tasks.