• ANAND DOHARE
• Dr.Amamer Khalil Masoud Ahmidat
• Mr.Muhamad Abdulla Muhamad Abdussalam

Wireless Sensor Network (WSN) has been a centre of attention for research for numerous years. WSN allows novel and smart answers for information gathering through the spectrum of Endeavour comprising transportation, commercial, health-care, business automation, and environmental monitoring, WSN is not getting sufficient use due to low battery power and memory capacity. Cloud computing has numerous inherent benefits such as, well-organized practise of assets, scalability, elasticity, and rapid development and introduction of new applications. Resources as dedicated to them whereas in reality multiple users access them concurrently. Cloud have a large data storing capacity but not unlimited, in this paper we propose a prediction based data gathering mechanism which is based on combination of Kalman Filters and Gray Model data aggregation, result shows the reducing of data redundancies and improve life time of WSN as well as cloud.

Wireless sensor networks with cloud computing data collection by using Data Prediction Model

"Wireless sensor networks with cloud computing data collection by using Data Prediction Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 1, page no.108-113, January-2020, Available :http://www.jetir.org/papers/JETIR2001018.pdf

"Wireless sensor networks with cloud computing data collection by using Data Prediction Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 1, page no. pp108-113, January-2020, Available at : http://www.jetir.org/papers/JETIR2001018.pdf