DYNAMIC DATA GATHERING THROUGH MOBILE SINK FOR LIFE TIME IMPROVEMENT IN WSNs
Wulchi Divya Charitha, S.Sujithira, Naveena Nataraj · International journal of advance research and innovative ideas in education · 2019
The most challenging aspect of Wireless Sensor Network (WSN) is that they are energy resource-constrained and that energy cannot be replenished. Clustering methods in WSN lead the sensor nodes to be organised into small disjoint groups, where each cluster has a coordinator referred as Cluster Head (CH). Maintaining the created clusters is the main challenging task in the methods. To choose a node as a CH, it is necessary to define its eligibility. That is calculated based on local information of the nodes’ current situations such as its residual energy. The eligibility of the selected CHs however, reduces as the sensor nodes are consuming energy for transferring data. However, there is possibility that the CHs may fail and function incorrectly due to a number of reasons such as power instability. During the failure, the CHs are unable to collect and transfer data correctly. This affects the performance of the WSN. Early detection of failure of CHs will reduce the data loss and provide possible minimal recovery efforts. It is a self-configurable clustering mechanism to detect the disordered CHs and replace them with other nodes.