A framework for flexible sensor information dissemination

Abstract

The integration of the digital world into every aspect of our lives is becoming more and more preeminent. Nowadays, not only humans but also devices and the environments where we dwell are also able to provide their own information, through the usage of sensors. Through their interconnection over communication networks, sensors enable Ambient Intelligent scenarios achieving a true Internet of Things, and crossing the gap between computer systems and the real world. However, the different sensing devices and information generated by them, are of such disparate nature that it becomes increasingly difficult to access and make use of such heterogeneous data. In this paper, we propose a framework which not only considers a media independent information access to sensors and their supplied data, but is also flexible enough to configure and provide different means to best transport collected sensor information via wireless gateways, facilitating its deployment in different scenarios. We demonstrate its usefulness by providing a throughput efficient approach towards the collection and dissemination of sensing data, through sensing information compression and aggregation of multiple sources.

Furthering media independence mechanisms for Future Internet enablement

“…Taking as base the ODTONE 802.21 implementation [22], the MIH control of sensor devices in IoT scenarios has been successfully deployed and even enabled novel scenarios, such as energyefficient wireless interface control [23] and information dissemination [24]. However, we argue that this enhancement does not need to stop here.…”

MINDiT: A framework for media independent access to things

“…In this way, the MINDiT framework is able to encompass different scenarios, according to the capacities of the involved devices and services. [20] provides details on the deployment of such dissemination models.…”

Sensor context information for energy-efficient optimization of wireless procedures

“…As such, we developed and deployed a testbed scenario showing how a context-aware server can analyze media independent sensor information conveyed by a mobile terminal, and use such information to optimize EE capabilities on a multi-technology mobile terminal. Specific results on network performance using our developed signaling can be consulted in [3], whereas a study on the effect of our signaling in both node number and battery consumption can be found in [9].…”