Load Balancing of Smart Agriculture Data Using Edge Computing and SDN
Rohit Kumar Kasera, Tapodhir Acharjee · 2024
The Internet of Things (IoT) Edge computing enabled Smart Agriculture has emerged as one of the most intriguing possibilities for research these days. It provides access to cutting-edge information related to crop growth. There is an enormous amount of data in traditional IoT-based agriculture networks. As a result of limited bandwidth, storage capacity, network congestion, and processing speed returns a high delay rate and a significant probability of data loss. This paper develops an Equitable and Efficient Resource Distribution (EERD) method, which exploits a combination of LPWAN IoT Edge and SDN. It aims to reduce existing limitations by allocating resources equally to multiple edge gateways for accessing farming field information without delay and data loss. The EERD method returns an average response time of 91.23 milliseconds and an average delay time of 2.01 milliseconds. The proposed novel method achieves better results in comparison to existing methods during analysis and discussion.