A scenario based approach for dealing with challenges in a pervasive computing environment

TL;DR

This paper discusses a scenario-based approach to address challenges in pervasive computing, focusing on multimedia information retrieval and uncertainty modeling to develop smart systems that enhance human life.

Contribution

It introduces a scenario-based framework incorporating mathematical techniques for uncertainty modeling in pervasive computing environments.

Findings

Identifies multimedia access challenges in pervasive environments.

Proposes a pattern recognition scenario for smart object interaction.

Highlights the use of mathematical models for uncertainty in sensing systems.

Abstract

With the surge in modern research focus towards Pervasive Computing, lot of techniques and challenges needs to be addressed so as to effectively create smart spaces and achieve miniaturization. In the process of scaling down to compact devices, the real things to ponder upon are the Information Retrieval challenges. In this work, we discuss the aspects of multimedia which makes information access challenging. An Example Pattern Recognition scenario is presented and the mathematical techniques that can be used to model uncertainty are also presented for developing a system that can sense, compute and communicate in a way that can make human life easy with smart objects assisting from around his surroundings.