153abf0819177105026-7890 20240826015708792 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 08 30 2024 13 9 Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India. P.Swapna Bandi Aruna https://orcid.org/0009-0008-1401-2914 Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India. G.Vinutha Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India. Ch. Mary Pushpa Department of Computer Science, St. Pious X Degree & PG College for women, Nacharam, Hyderabad (Telangana), India. Wireless Sensor Networks are the most powerful technique for monitoring Environmental factors. As the role of WSN relies totally on the service life of the sensor nodes, it is necessary to have complete monitoring of networks. Energy efficiency has always been a key concern for Wireless sensor networks. This paper presents a detailed literature review that examines how an artificial intelligence networking tool(datalog)can be used with ZIGBee-based network protocol for continuous Real-time data quality monitoring to detect bad data quality issues in an educational organization It also Tracks and improves application speed by following requests from beginning to end and monitoring application performance. By using AI algorithms for routing choices and optimization methods, the study aims to improve network performance, energy efficiency, and system scalability. The analysis of different routing strategies with AI implementations will be covered, emphasizing the potential advantages and challenges of this innovative approach in an organization. 08 30 2024 5 8 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE): https://www.ijitee.org/ Based on my understanding, this article has no conflicts of interest. This article has not been sponsored or funded by any organization or agency. The independence of this research is a crucial factor in affirming its impartiality, as it has been conducted without any external sway. The data provided in this article is exempt from the requirement for ethical approval or participant consent. The adequate resources of this article are publicly accessible. The authorship of this article is contributed equally to all participating individuals. 10.35940/ijitee.I9951.13090824 https://www.ijitee.org/portfolio-item/I995113090824/