Congestion control using WSN based on cognitive IOT for intelligent agriculture

Wireless sensor networks (WSNs) are made up of different wireless gadgets that have been outfitted with different kinds of sensors to gather environmental data. In agricultural operations, wireless sensor networking is widely utilized to boost output and lower losses in a number of ways. The greenhouse makes planting easier, which is advantageous for agriculture in a number of ways. Soil pH sensors and gas sensors are frequently utilized in agricultural models. These sensors may be used for a variety of integrated agricultural Internet of Things (IoT) applications. When traffic volume in wireless sensor networks (WSN) exceeds the combined or individual capacity of the underlying channels, congestion control becomes a critical domain. As a result, more care must be taken to create complex methods for preventing, identifying, and resolving congestion. When developing such strategies to maximize throughput, the limited resources of the WSN must be taken into account. In the last several years, a number of strategies have been established, such as specialized congestion control protocols and routing protocols that assist with congestion detection and control mechanisms. The Penman-Monteith equation is used to examine important issues, such as congestion control. This work aims to split the connection equally by the number of sources by using more than two reference factors, such as humidity and evapotranspiration, under various situations. According to the research, comparable variations with the same source value are achieved, demonstrating the effectiveness and equity of the suggested paradigm. These systems also show lower delay rates and faster throughput in an ideal location. Supplementary Material File (arabhi paper phase2.docx) - Download - 653.53 KB Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License.

Authors Metrics & Citations Metrics Article Usage 218views 120downloads Citations Download citation Aarabi Ravichandran, SJanani, S.G.Hymlin Rose. Congestion control using WSN based on cognitive IOT for intelligent agriculture. Authorea. 09 April 2025. DOI: https://doi.org/10.22541/au.174422535.52377711/v1 DOI: https://doi.org/10.22541/au.174422535.52377711/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu. Cited by - 6G: A Revolutionary Transformation, Network Congestion Issues, and a Singular Value Decomposition-Based Approach to Optimize Congestion Using RLNC in Wireless Networks, Smart Trends in Computing and Communications, (229-242), (2025).https://doi.org/10.1007/978-981-96-7517-3_20 Loading...