Based on Neighbor Density Estimation Technique to Improve the Quality of Service and to Detect and Prevent the Sinkhole Attack in Wireless Sensor Network
K. Karthigadevi, Saminathan Balamurali, M. Ajaykumar Venkatesulu · 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) · 2019
The sinkhole attack is one of the harmful attacks in wireless sensor network. The sink node acts as a base station and consumes all the data in the network and reduces the scalability and performances of the sinkhole attacking nodes. Once sinkhole attack affected in a node, mitigating them is a great deal of research in wireless sensor network. Proposed a novel decentralized sinkhole detection mechanism using network Density Estimation Technique to detect and prevent the sinkhole attack. The Network Density Estimation Technique is carried out by all the nodes in a network wherever each node maintains the neighbor table to store the neighbor details. Each node in a network collects the neighbor's details. Using all these Network Density Estimation Technique estimates the network density and identifies the presence of malicious node in the region. Identified malicious node information is distributed to the neighbor nodes, so that the malicious node will be ignored at next transmissions. This method reduces the overhead of collecting snapshots and routes. This method increases the network throughput by increasing the Best Effort traffic.