SELFISH NODE DETECTION WITH QUEUE LEARNING BASED WSN

In WSN, there exists a major need for detection of selfish nodes which will degrade the performance and trust inside the network. Selfish nodes are those that behave selfishly due to many reasons resulting in not sharing any packets of their neighbors to the BS resulting in packets loss. The selfish behaviour arises from one of the main reasons is lack of energy to transmit the packets at that particular instant which will actually degrade the performance and trust in the network. Here, in this implementation, we’re aiming to implement the Queue Learning based selfish nodes detection which will not only remove the selfish nodes during routing to the BS but also observe their behaviour over periods of time before declaring a node selfish. The thing is all nodes in the network will act selfishly during particular instants of time depending on their residual energy, so, we can’t declare a node selfish instantly after encountering its selfish behavior, we need to observe that node for longer periods of time and we need to calculate the tolerable trust beyond which it will be declared as a selfish node. Our implementation will perform better than existing methods like TCM model etc.

Keywords: Wireless Sensor Network, Internet of Things, Selfish Node Detection, Queue Learning, Trust in the network.