The web application has become more and more reliant upon large amount of database and unorganized data such as videos, images, audio, text, files and other arbitrary types. It is difficult for Relational Database Management System (RDBMS) to handle the unstructured data. Firebase is a relatively new technology for handling large amount of unstructured data. It is very fast as compared to RDBMS. This paper focuses on the application of Firebase with Android and aims at familiarizing its concepts, related terminologies, advantages and limitations. The paper also tries to demonstrate some of the features of Firebase by developing an Android app.

Abstract-Scalar multiplication is time consuming operation of ECC when implemented on wireless sensor nodes. The wireless sensor node consists of 8 bit micro controller and limited memory for the storage. The scalar multiplication process can be accelerated with the sliding window method which has two stages namely pre computation and an evaluation stage. Points for use in the evaluation stage are computed in the pre computation stage. The scalar multiplication is carried out in the evaluation stage with the addition of pre computed points. The number of pre computations depends on the window size of sliding window method. More is the window size, more are the pre computations and more is the memory required for the storage .This is the well-known draw-back of the sliding window method when implemented on WSN Nodes. This research paper proposes sliding window method with flexible window size for scalar multiplication on wireless sensor nodes. The flexible window size will prevent sensor node failures due to stack overflow.

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