A Comparative Study of Various Location Prediction and Interpolation Techniques

Autor: J. Ananthi, S. Hamsa Nandhini, Dr. N. Sengottaiyan
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: EAI Endorsed Transactions on Energy Web, Vol 5, Iss 20 (2018)
Druh dokumentu: article
ISSN: 2032-944X
DOI: 10.4108/eai.12-9-2018.155741
Popis: Natural catastrophe is a common phenomenon by which the living as well as nonliving entities belong to the environment faces the calamity. But the human beings can presume the disaster and take major steps to prevent it. There are many technologies available to foresee and prevent the abnormalities or variations in uncovered open regions. Wireless Sensor and Actuator Networks are exploited to monitor the physical and environmental conditions and is preferred due to its cost effectiveness, faster data transfer and accurate computation of required parameter for prediction and prevention. The WSANs are utilizing conditions such as temperature, sound, pressure, location to predict the Geological, Hydrological, and Meteorological disasters. The work mainly aims at studying about the various interpolation techniques and its advantages, disadvantages. The paper finally produces a comparative study of those interpolation techniques and finding an optimal interpolation method for wireless sensor networks.
Databáze: Directory of Open Access Journals