Reliable distributed data fusion scheme in unsafe sensor networks

In this paper, we deal with the problem of distributed data fusion in unsafe large-scale sensor networks. Data fusion application is the phase of processing the collected data by sensor nodes before sending it the end user. During this phase, resource failures are more likely to occur and can have an adverse effect on the application. To achieve/ensure the convergence of node states to the average of the initial measurements of the network even when sensor nodes are subject to failures, two algorithms are presented. We introduce first an efficient fault-tolerant scheme capable of supporting faults due to battery depletion. Next, we derive a more complex solution to resist to frequent and unexpected fail-silent/fail-stop node failures. We provide a comprehensive set of experimental results, that fully demonstrate the usefulness of the proposed schemes.