Abstract
Wireless Sensor Networks (WSN) are largely employed to collect and elaborate data and information in a given environment. These networks are made by power-constrained sensors able to receive and transmit data wireless. Typically, this information is gathered by a single sensor which has the responsibility of elaborating it, and inferring something about the environment. One of the most desirable features for a WSN is the fault tolerance. Because of the limited energy of the sensors, node crashes may happen in the network, and this shouldn’t affect the connectivity of the network itself. The fault tolerance property is related to self-organizing capability that a WSN is supposed to have, and that is often obtained through network clusterization. In this work, we want to address the fault tolerance problem together with self-organizing requirement, in order to provide a network satisfying both robustness and autonomy needs. To this aim, we propose a clustering algorithm that helps to preserve the network connectivity after a node crash.
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Balzano, W., Stranieri, S. (2019). A Self-organization Technique in Wireless Sensor Networks to Address Node Crashes Problem and Guarantee Network Connectivity. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_82
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DOI: https://doi.org/10.1007/978-3-030-15035-8_82
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