Visualising network communications to evaluate a data dissemination method for ubiquitous systems

Ubiquitous computing systems which include wireless devices in their networks rely on sometimes frag- ile ah-hoc communication channels between heteroge- neous devices to operate. To maintain stability and ro- bustness, the contextual information contained on each node present in the system needs to be disseminated be- tween nodes, so that in the event of a node failure, the data is still available to the wider network. One approach to disseminating information around topologically un- stable networks is a type of epidemic algorithm called gossiping. However, developing an e cient, resilient al- gorithm to operate e ectively in such an environment is an ongoing challenge. We have developed a visualisation tool that supports the evaluation of gossiping methods by enabling the algorithm designer to view the visual evolution of a network of nodes, from which they can monitor the stability of information within the network. By using this tool the designer can watch as information is propagated throughout their network, and see the ef- fects of events such as node failures, so that they can make informed changes to the design of their algorithms.