Drap Algorithm for Energy-efficient Malicious Node Detection in Wireless Sensor Networks

Wireless sensor network is the most commonly used means of wireless communication. Malicious activities in wireless sensor network will degrade its performance. Such as, by decreasing the energy consumption and increasing the bandwidth the overall network performance will decrease. Researchers are focusing on the prevention of malicious nodes and malicious activities in the earlier stages for effective data transfer on the network. The problems with the reported LBIDS algorithm are the trustworthiness of the leader node and the time-consuming behavior, where it is complex while forming the group and selecting the leader. This paper proposes the Detect Remove and Prevent [DRAP] algorithm in which malicious nodes will be detected and barred during the route discovery itself. It is proved that malicious nodes are prevented during its entry time into the network and the network performance is also found to improve. It is proved that the DRAP algorithm leaves without malicious nodes when the network has a maximum of 30 nodes and the presence of malicious nodes is minimal thereafter. Further, a very negligible drop in energy through the DRAP algorithm is recorded. In addition, the node detection delay is also about 8% less than with the LBIDS method. Above all, the overall throughput of the DRAP algorithm shows a 5% increase over the LBIDS method.