Building a Neighborhood Resource Map for IoT and Cyber-Physical systems in Resource-Constrained Environments

Abstract

Creating and maintaining a shared resource map between observation nodes that have a behavior where they are mostly sleeping, and have a wake up schedule that are determined at each node locally is challenging. This thesis looks at these challenges, and possible solutions have been proposed to overcome them.

Previous research on the topic of constrained IoT networks have looked at the network, energy, and human constraints separately. But no one has looked at what is needed when all the limitations have to be accounted for simultaneously. Three methods for exchanging resource descriptions are created in this paper.

To evaluate the different exchange methods with different node behaviors, a custom simulator is made. The simulator will simulate communication and resource description exchanges between nodes.

The results show that different node behavior has a drastic affect on when each of the exchange methods work best. The main contribution of this paper is to guide designers of IoT and sensor networks, when they are choosing how the nodes will behave in resource constrained environments.

And the main conclusion are that when there are complete overlap of node behavior, the best method to spread resource descriptions is; to have everyone just sharing description for its own resource. When the nodes are not guaranteed to overlap, some other techniques for exchanging information must be used, like SLM or SLMV that are presented in this paper. Also when there is no overlap, the node behavior becomes even more important. Structuring the wakeup schedules even a bit can help improve overall time to create the resource map.