Decentralized data dissemination and harvesting for urban monitoring

Abstract

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.