Rabin-Karp algorithm based malevolent node detection and energy-efficient data gathering approach in wireless sensor network

摘要

A wireless sensor network (WSN) contains sensor nodes that can forecast the ambience and operate accordingly to transmit the information in adverse surroundings. Though, inadequate energy as well as protection effects limits better transactions in the network. Conventional energy-based schemes utilizing cluster heads (CHs) as well as security is rendered using encryption. Yet, cluster method using encryption security is difficult due to increases the routing complexity as well as routing overhead. So, it degrades the performance of the network. To resolve these problems, Rabin-Karp Algorithm based Malevolent Node Detection and Energy-Efficient Data Gathering approach (RAMD) in WSN is proposed. In this scheme, the Rabin-Karp Algorithm thereby isolates the malevolent sensor from the network. It also removes the eavesdropping attack, and verifies the sensor authentication in the WSN. The sensor nodes forward the supervise data to CH. This CH is elected by cooperativeness rank, data transmission rank and remaining energy. The Mobile sink (MS) is used to gather the sensing data from the CH via intermediate CHs. Thus it reduces both the delay and the additional energy utilization in the network. This approach is mainly used for military or other security application. The simulation outcomes demonstrate that the RAMD is increasing the remaining energy and packet forwarding rate as well as diminishes the delay in the network.