iSSEE: IMS Sensors Search Engine Enabler for Sensors Mashups Convergent Application

TL;DR

The paper introduces iSSEE, a search engine enabler for IMS sensors that facilitates dynamic discovery of sensor status, location, and type, enabling innovative multimedia mash-up applications over IP networks.

Contribution

It presents the design and implementation of iSSEE, a novel application enabler that enhances sensor discovery and data integration for IMS-based multimedia applications.

Findings

iSSEE effectively provides real-time sensor availability and location information.

The system supports diverse sensor types for multimedia mash-ups.

Enables dynamic, convergent applications using heterogeneous sensor data.

Abstract

Integrating the sensing capabilities in Internet Protocol network will open the opportunities to build a wide range of novel multimedia applications. The problem when using sensors (e.g. temperature sensor, camera, audio, humidity, etc.) connected to the network is to know dynamically at any time if they are always connected or not, what type of data they can transmit and where they are geographically located. This paper describes an application enabler: IMS Sensor Search Engine Enabler (iSSEE), which allows IMS applications using sensors and IMS based devices, to get information about the sensor availability, its location and the type of the sensor. Using data collected by sensors and from the web, mash-ups convergent applications use cases are proposed by combining the contents from heterogeneous data.