An Improved Pillar K-Means Based Protocol for Privacy-Preserving Location Monitoring in Wireless Sensor Network

The main criteria affecting the wireless sensor network is the security of data transmission. This paper proposed a security model for preserving the data transmission by enhancing a location monitoring and privacy-preserving protocol in the wireless sensor network. The proposed approach in this paperwork incorporates improved pillar k-means and hybrid location-privacy aware algorithm for increasing the security of wireless sensor network. The sensor network is used by different users, where the network authenticates its user by monitoring and preserving the network from the connected user. The proposed hybrid algorithm reduces the overall cost regarding communication and computational while the quality-aware increases the accuracy of location to the server. The improved pillar k-means algorithm proposed in this work to cluster the sensor nodes into a set of cluster nodes. The clustering process groups the network into nodes and searches the transmission node is monitored and secured. The output of the proposed work is carried out in MatLab platform, and it was compared with existing protocol, and the result shows the proposed IPLPA is the least possible method for preserving security regarding location monitoring and privacy in the wireless sensor network.