BTRMC, a Bio-inspired Trust and Reputation Model using Clustering in WSNs

Nowadays, Wireless networks are becoming extremely important for companies and large public. And above all the types of networks, Wireless Sensor Networks (WSNs) are the most flexible and extensible. With their dynamic and collaborative behaviour, their security has become an important research issue. Also, the trust is the main factor to secure and control the network because it is important to know the good and the bad nodes in the network before communicating with them. In this paper, we design a new trust and reputation model in WSNs, dubbed BTRMC (Bio-inspired Trust and Reputation Model using Clustering). BTRMC combines trust management with clusters distribution in order to estimate the right trust values. We have done simulations using TRMSim-WSN and the results approved BTRMC's capability to keep the accuracy of the basic bio-inspired model, with higher probability to reach benevolent sensors during transactions.