Counteracting wireless congestion in data distribution with adaptive batching techniques

The possibility of distributing data to all interested entities connected to a mobile system is a fundamental core in future mobile ubiquitous scenarios. Unfortunately, its realization poses many different problems especially due to the available resources, e.g., constrained-bandwidth links, resource constrained devices, etc. With the goal of enhancing scalability, this paper presents a novel data distribution infrastructure that exploits heterogeneous wireless modalities and distributed data repositories. After the introduction of quality-base indicators useful to manage data distribution, we present an adaptive batching technique that exploits load information to reduce wireless channel congestion. Experimental results validate our main assumptions, and show how our infrastructure is able to scale well also under high loads.