Adaptative nodes diagnosis and recovery for Wireless Sensor Networks

The rapid increasing development of the Wireless Sensor Networks (WSN) and their wide spread over numerous domains of our daily life, keep on drawing researchers attention in order to make them reaching the expected and promising maturity. So, for this purpose, many attributes in WSN have been paid more attention than that of dependability. Indeed, when the node density is large, a node failure rate increases inevitably leading to impede the proper functioning of a WSN. Therefore, to ensure that the running applications can be completed successfully, it is crucial to detect failed sensor nodes or precisely failed parts of a sensor node and then take appropriate actions to continue using the correct parts and overcome as possible the failed ones. In this paper, we present a diagnosis mechanism for sensor nodes failures in WSN; this mechanism distinguishes several causes of node performance degradation and provides an effective alternate action to recover from the failure enabling a node to carry on contributing to successful network deployment goal.