This paper presents a Decentralized data
Dissemination and Harvesting (DDH) mechanism for urban
pollution monitoring using mobile sensor nodes with limited
resources. The proposed DDH mechanism enables participating
nodes to self-decide whether to process the received data or
not, thus, reducing the on-board processing load. Based on
the harvested data, the nodes calculate their level of interest
in monitoring the particular street segments. In this way a
reduction in the number of actively participating nodes is
accomplished. In addition, the mobile nodes process raw sensor
readings using the Delayed State Information Filter (DSIF) to
maintain the past pollution states and perform a decentralized
data fusion. The proposed DDH mechanism is assessed using
simulations with varying number of the participating nodes.
The results show that the proposed mechanism outperforms
existing solutions in terms of the utilisation of nodes resources,
without affecting the amount of volume of gathered data for the
monitored street segments.